Jan Peters

CoRR, 2024

Iterated Q-Network: Beyond the One-Step Bellman Operator.

[BibT_eX]

[DOI]

CoRR, 2024

Information-Theoretic Safe Bayesian Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Transition State Clustering for Interaction Segmentation and Learning.

[BibT_eX]

[DOI]

Ruth Maria Stock-Homburg

Antonio De Almeida Correia

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers.

[BibT_eX]

[DOI]

Yasemin Göksu

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Parameterized Projected Bellman Operator.

[BibT_eX]

[DOI]

Théo Vincent

Alberto Maria Metelli

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

An Adaptive Human Driver Model for Realistic Race Car Simulations.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Composable energy policies for reactive motion generation and reinforcement learning.

[BibT_eX]

[DOI]

Int. J. Robotics Res., September, 2023

Digital Twin of a Driver-in-the-Loop Race Car Simulation With Contextual Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., July, 2023

A human-centered safe robot reinforcement learning framework with interactive behaviors.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, June, 2023

Continuous-Time Fitted Value Iteration for Robust Policies.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

A Deterministic Approximation to Neural SDEs.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Learning-Based Design and Control for Quadrupedal Robots With Parallel-Elastic Actuators.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., March, 2023

Combining physics and deep learning to learn continuous-time dynamics models.

[BibT_eX]

[DOI]

Int. J. Robotics Res., March, 2023

Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots.

[BibT_eX]

[DOI]

Dieter Büchler

Robotics Auton. Syst., 2023

Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization.

[BibT_eX]

[DOI]

Carlos E. Luis

Felix Berkenkamp

CoRR, 2023

Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Multimodal Latent Dynamics for Human-Robot Interaction.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts.

[BibT_eX]

[DOI]

Ahmed Hendawy

Carlo D'Eramo

CoRR, 2023

Towards Transferring Tactile-based Continuous Force Control Policies from Simulation to Robot.

[BibT_eX]

[DOI]

CoRR, 2023

Time-Efficient Reinforcement Learning with Stochastic Stateful Policies.

[BibT_eX]

[DOI]

CoRR, 2023

LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion.

[BibT_eX]

[DOI]

CoRR, 2023

Domain Randomization via Entropy Maximization.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula.

[BibT_eX]

[DOI]

CoRR, 2023

Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

On the Benefit of Optimal Transport for Curriculum Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Sampling-Free Probabilistic Deep State-Space Models.

[BibT_eX]

[DOI]

CoRR, 2023

Value-Distributional Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Carlos E. Luis

Felix Berkenkamp

CoRR, 2023

Function-Space Regularization for Deep Bayesian Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles.

[BibT_eX]

[DOI]

CoRR, 2023

A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors.

[BibT_eX]

[DOI]

CoRR, 2023

Pseudo-Likelihood Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Accelerating Motion Planning via Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Policy Blending As Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

Placing by Touching: An Empirical Study on the Importance of Tactile Sensing for Precise Object Placing.

[BibT_eX]

[DOI]

IROS, 2023

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models.

[BibT_eX]

[DOI]

IROS, 2023

Start State Selection for Control Policy Learning from Optimal Trajectories.

[BibT_eX]

[DOI]

Christoph Zelch

Oskar von Stryk

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Hierarchical Policy Blending as Inference for Reactive Robot Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Clustering of Motion Trajectories by a Distance Measure Based on Semantic Features.

[BibT_eX]

[DOI]

Christoph Zelch

Oskar von Stryk

Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

Disentangling Interaction Using Maximum Entropy Reinforcement Learning in Multi-Agent Systems.

[BibT_eX]

[DOI]

David Rother

Thomas H. Weisswange

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Visual Tactile Sensor Based Force Estimation for Position-Force Teleoperation.

[BibT_eX]

[DOI]

Yaonan Zhu

Shukrullo Nazirjonov

Bingheng Jiang

Jacinto E. Colan Zaita

Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023

Model-Based Uncertainty in Value Functions.

[BibT_eX]

[DOI]

Carlos E. Luis

Felix Berkenkamp

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Autonomous Learning of Page Flipping Movements via Tactile Feedback.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2022

Learning to Play Table Tennis From Scratch Using Muscular Robots.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2022

Learning Stable Vector Fields on Lie Groups.

[BibT_eX]

[DOI]

Julen Urain

Davide Tateo

IEEE Robotics Autom. Lett., 2022

Robot Learning of Mobile Manipulation With Reachability Behavior Priors.

[BibT_eX]

[DOI]

Snehal Jauhri

IEEE Robotics Autom. Lett., 2022

Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation.

[BibT_eX]

[DOI]

Siddhartha S. Srinivasa

Tapomayukh Bhattacharjee

Matthew R. Walter

IEEE Robotics Autom. Lett., 2022

Monte-Carlo Robot Path Planning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient.

[BibT_eX]

[DOI]

João Carvalho

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts.

[BibT_eX]

[DOI]

Davide Tateo

Alexander I. Cowen-Rivers

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Robust Reinforcement Learning: A Review of Foundations and Recent Advances.

[BibT_eX]

[DOI]

Mach. Learn. Knowl. Extr., 2022

HEBO: An Empirical Study of Assumptions in Bayesian Optimisation.

[BibT_eX]

[DOI]

Alexandre Max Maraval

J. Artif. Intell. Res., 2022

Human-Robot Handshaking: A Review.

[BibT_eX]

[DOI]

Vignesh Prasad

Ruth Stock-Homburg

Alexander I. Cowen-Rivers

Int. J. Soc. Robotics, 2022

Integrating contrastive learning with dynamic models for reinforcement learning from images.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Robot Learning From Randomized Simulations: A Review.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2022

PAC-Bayesian lifelong learning for multi-armed bandits.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2022

How Crucial is Transformer in Decision Transformer?

[BibT_eX]

[DOI]

CoRR, 2022

Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics.

[BibT_eX]

[DOI]

CoRR, 2022

Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Structured Q-learning For Antibody Design.

[BibT_eX]

[DOI]

CoRR, 2022

Active Inference for Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2022

Revisiting Model-based Value Expansion.

[BibT_eX]

[DOI]

Daniel Palenicek

CoRR, 2022

Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking.

[BibT_eX]

[DOI]

CoRR, 2022

A Hierarchical Approach to Active Pose Estimation.

[BibT_eX]

[DOI]

CoRR, 2022

Residual Robot Learning for Object-Centric Probabilistic Movement Primitives.

[BibT_eX]

[DOI]

CoRR, 2022

An Analysis of Measure-Valued Derivatives for Policy Gradients.

[BibT_eX]

[DOI]

João Carvalho

Alexander Imani Cowen-Rivers

CoRR, 2022

A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Geometric Constraints in Task and Motion Planning.

[BibT_eX]

[DOI]

Tianyu Ren

Haitham Bou-Ammar

CoRR, 2022

Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning.

[BibT_eX]

[DOI]

Algorithms, 2022

A Semantic Enhancement of Unified Geometric Representations for Improving Indoor Visual SLAM.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Ubiquitous Robots, 2022

Information-Theoretic Safe Exploration with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Implicit Priors for Motion Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Active Exploration for Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Controlling the Cascade: Kinematic Planning for N-ball Toss Juggling.

[BibT_eX]

[DOI]

Kai Ploeger

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Regularized Deep Signed Distance Fields for Reactive Motion Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Curriculum Reinforcement Learning via Constrained Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Boosted Curriculum Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Integrated Bi-Manual Motion Generation and Control shaped for Probabilistic Movement Primitives.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

Improving Sample Efficiency of Example-Guided Deep Reinforcement Learning for Bipedal Walking.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Dimensionality Reduction and Prioritized Exploration for Policy Search.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

ArmSym: A Virtual Human-Robot Interaction Laboratory for Assistive Robotics.

[BibT_eX]

[DOI]

Samuel Bustamante

Vinay Jayaram

IEEE Trans. Hum. Mach. Syst., 2021

Sim2Real in Robotics and Automation: Applications and Challenges.

[BibT_eX]

[DOI]

Christopher G. Atkeson

IEEE Trans Autom. Sci. Eng., 2021

SKID RAW: Skill Discovery From Raw Trajectories.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Data-Efficient Domain Randomization With Bayesian Optimization.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Assessing Transferability From Simulation to Reality for Reinforcement Learning.

[BibT_eX]

[DOI]

Fabio Muratore

Michael Gienger

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Convex optimization with an interpolation-based projection and its application to deep learning.

[BibT_eX]

[DOI]

Asma Atamna

Mach. Learn., 2021

A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

MushroomRL: Simplifying Reinforcement Learning Research.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Gaussian Approximation for Bias Reduction in Q-Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2021

Distilled Domain Randomization.

[BibT_eX]

[DOI]

CoRR, 2021

Model-Based Reinforcement Learning for Stochastic Hybrid Systems.

[BibT_eX]

[DOI]

Alexander I. Cowen-Rivers

CoRR, 2021

A Differentiable Newton-Euler Algorithm for Real-World Robotics.

[BibT_eX]

[DOI]

CoRR, 2021

A Robot Cluster for Reproducible Research in Dexterous Manipulation.

[BibT_eX]

[DOI]

CoRR, 2021

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning.

[BibT_eX]

[DOI]

Antoine Grosnit

Rasul Tutunov

Alexandre Max Maraval

Ryan-Rhys Griffiths

CoRR, 2021

Stochastic Control through Approximate Bayesian Input Inference.

[BibT_eX]

[DOI]

CoRR, 2021

Reinforcement Learning using Guided Observability.

[BibT_eX]

[DOI]

CoRR, 2021

Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions.

[BibT_eX]

[DOI]

CoRR, 2021

Extended Task and Motion Planning of Long-horizon Robot Manipulation.

[BibT_eX]

[DOI]

Tianyu Ren

CoRR, 2021

Robust Value Iteration for Continuous Control Tasks.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Real Robot Challenge: A Robotics Competition in the Cloud.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Efficient and Reactive Planning for High Speed Robot Air Hockey.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Human-like Hand Reaching for Human-Robot Handshaking.

[BibT_eX]

[DOI]

Vignesh Prasad

Ruth Stock-Homburg

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Directed Acyclic Graph Neural Network for Human Motion Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Value Iteration in Continuous Actions, States and Time.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Convex Regularization in Monte-Carlo Tree Search.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Neural Posterior Domain Randomization.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Robot Reinforcement Learning on the Constraint Manifold.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Building Skill Learning Systems for Robotics.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk.

[BibT_eX]

[DOI]

Proceedings of the 2021 American Control Conference, 2021

Latent Derivative Bayesian Last Layer Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Trajectory Optimization of Energy Consumption and Expected Service Life of a Robotic System.

[BibT_eX]

[DOI]

Florian Stuhlenmiller

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2021

2020

Adaptation and Robust Learning of Probabilistic Movement Primitives.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2020

Grip Stabilization through Independent Finger Tactile Feedback Control.

[BibT_eX]

[DOI]

Benoni B. Edin

Sensors, 2020

Learning Sequential Force Interaction Skills.

[BibT_eX]

[DOI]

Robotics, 2020

Probabilistic Approach to Physical Object Disentangling.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

A Probabilistic Framework for Imitating Human Race Driver Behavior.

[BibT_eX]

[DOI]

Stefan Löckel

Peter van Vliet

IEEE Robotics Autom. Lett., 2020

Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Real Time Trajectory Prediction Using Deep Conditional Generative Models.

[BibT_eX]

[DOI]

Sergey Prokudin

IEEE Robotics Autom. Lett., 2020

Numerical Quadrature for Probabilistic Policy Search.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Evolutionary training and abstraction yields algorithmic generalization of neural computers.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2020

Learning attribute grammars for movement primitive sequencing.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2020

Incremental Learning of an Open-Ended Collaborative Skill Library.

[BibT_eX]

[DOI]

Int. J. Humanoid Robotics, 2020

Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks.

[BibT_eX]

[DOI]

Juan Camilo Gamboa Higuera

Frontiers Robotics AI, 2020

Multi-Channel Interactive Reinforcement Learning for Sequential Tasks.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2020

Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems.

[BibT_eX]

[DOI]

CoRR, 2020

Perspectives on Sim2Real Transfer for Robotics: A Summary of the R: SS 2020 Workshop.

[BibT_eX]

[DOI]

Sebastian Höfer

Kostas E. Bekris

Ankur Handa

Florian Golemo

Melissa Mozifian

Christopher G. Atkeson

CoRR, 2020

A Differentiable Newton Euler Algorithm for Multi-body Model Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Differentiable Implicit Layers.

[BibT_eX]

[DOI]

CoRR, 2020

Deterministic Inference of Neural Stochastic Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2020

Reinforcement Learning from a Mixture of Interpretable Experts.

[BibT_eX]

[DOI]

Davide Tateo

CoRR, 2020

Orientation Attentive Robot Grasp Synthesis.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Reinforcement Learning with Weighted Q-Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Fly via Deep Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Philip Becker-Ehmck

Maximilian Karl

Marcus Ebner von Eschenbach

CoRR, 2020

Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms.

[BibT_eX]

[DOI]

Binyamin Manela

Armin Biess

CoRR, 2020

Dimensionality Reduction of Movement Primitives in Parameter Space.

[BibT_eX]

[DOI]

Jonas Stadtmueller

CoRR, 2020

Bayesian Domain Randomization for Sim-to-Real Transfer.

[BibT_eX]

[DOI]

CoRR, 2020

An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions.

[BibT_eX]

[DOI]

CoRR, 2020

A Nonparametric Offpolicy Policy Gradient.

[BibT_eX]

[DOI]

CoRR, 2020

Assisted teleoperation in changing environments with a mixture of virtual guides.

[BibT_eX]

[DOI]

Marco Ewerton

Oleg Arenz

Adv. Robotics, 2020

Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement.

[BibT_eX]

[DOI]

Mikko Lauri

Auton. Agents Multi Agent Syst., 2020

Bayesian Online Prediction of Change Points.

[BibT_eX]

[DOI]

Diego Agudelo-España

Stefan Bauer

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Advances in Human-Robot Handshaking.

[BibT_eX]

[DOI]

Vignesh Prasad

Ruth Stock-Homburg

Proceedings of the Social Robotics - 12th International Conference, 2020

Self-Paced Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Active Inference or Control as Inference? A Unifying View.

[BibT_eX]

[DOI]

Abraham Imohiosen

Proceedings of the Active Inference - First International Workshop, 2020

Decentralized Data-Driven Tuning of Droop Frequency Controllers.

[BibT_eX]

[DOI]

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

Redundancy resolution under hard joint constraints: a generalized approach to rank updates.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Hierarchical Acquisition Functions for Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Deep Adversarial Reinforcement Learning for Object Disentangling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Model-Based Quality-Diversity Search for Efficient Robot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Generalized Mean Estimation in Monte-Carlo Tree Search.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Control Policies from Optimal Trajectories.

[BibT_eX]

[DOI]

Christoph Zelch

Oskar von Stryk

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Underactuated Waypoint Trajectory Optimization for Light Painting Photography.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Sharing Knowledge in Multi-Task Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Evaluation of the Handshake Turing Test for anthropomorphic Robots.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards.

[BibT_eX]

[DOI]

Kai Ploeger

Proceedings of the 4th Conference on Robot Learning, 2020

A Nonparametric Off-Policy Policy Gradient.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Optimizing the Execution of Dynamic Robot Movements With Learning Control.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2019

Reliable Real-Time Ball Tracking for Robot Table Tennis.

[BibT_eX]

[DOI]

Yassine Nemmour

Robotics, 2019

Learning Intention Aware Online Adaptation of Movement Primitives.

[BibT_eX]

[DOI]

Dorothea Koert

Albert Schotschneider

Susanne Trick

IEEE Robotics Autom. Lett., 2019

Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

Learning Replanning Policies With Direct Policy Search.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks.

[BibT_eX]

[DOI]

Neural Networks, 2019

TD-regularized actor-critic methods.

[BibT_eX]

[DOI]

Simone Parisi

Voot Tangkaratt

Mohammad Emtiyaz Khan

Mach. Learn., 2019

Compatible natural gradient policy search.

[BibT_eX]

[DOI]

Mach. Learn., 2019

Reinforcement learning of motor skills using Policy Search and human corrective advice.

[BibT_eX]

[DOI]

Carlos Celemin

Javier Ruiz-del-Solar

Int. J. Robotics Res., 2019

Learning Trajectory Distributions for Assisted Teleoperation and Path Planning.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2019

How Cognitive Models of Human Body Experience Might Push Robotics.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2019

Entropic Regularization of Markov Decision Processes.

[BibT_eX]

[DOI]

Entropy, 2019

Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer.

[BibT_eX]

[DOI]

CoRR, 2019

Model-based Lookahead Reinforcement Learning.

[BibT_eX]

[DOI]

Zhang-Wei Hong

CoRR, 2019

Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm.

[BibT_eX]

[DOI]

CoRR, 2019

Learning walk and trot from the same objective using different types of exploration.

[BibT_eX]

[DOI]

CoRR, 2019

Was ist eine Professur fuer Kuenstliche Intelligenz?

[BibT_eX]

[DOI]

Kristian Kersting

CoRR, 2019

CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity.

[BibT_eX]

[DOI]

Artemij Amiranashvili

Thomas Brox

CoRR, 2019

Bayesian Online Detection and Prediction of Change Points.

[BibT_eX]

[DOI]

Diego Agudelo-España

Stefan Bauer

CoRR, 2019

Neural Signatures of Motor Skill in the Resting Brain.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories.

[BibT_eX]

[DOI]

Julen Urain

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction.

[BibT_eX]

[DOI]

Susanne Trick

Dorothea Koert

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Experience Reuse with Probabilistic Movement Primitives.

[BibT_eX]

[DOI]

Svenja Stark

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Entropic Risk Measure in Policy Search.

[BibT_eX]

[DOI]

David Nass

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems.

[BibT_eX]

[DOI]

Kim Listmann

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Local Online Motor Babbling: Learning Motor Abundance of a Musculoskeletal Robot Arm<sup>*</sup>.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics.

[BibT_eX]

[DOI]

Onur Celik

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Exploration Driven by an Optimistic Bellman Equation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Switching Linear Dynamics for Variational Bayes Filtering.

[BibT_eX]

[DOI]

Philip Becker-Ehmck

Proceedings of the 36th International Conference on Machine Learning, 2019

Projections for Approximate Policy Iteration Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning.

[BibT_eX]

[DOI]

Christian Ritter

Proceedings of the 7th International Conference on Learning Representations, 2019

Building a Library of Tactile Skills Based on FingerVision.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

Stochastic Optimal Control as Approximate Input Inference.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Receding Horizon Curiosity.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Self-Paced Contextual Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Information Gathering in Decentralized POMDPs by Policy Graph Improvement.

[BibT_eX]

[DOI]

Mikko Lauri

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Grip Stabilization of Novel Objects Using Slip Prediction.

[BibT_eX]

[DOI]

Tucker Hermans

IEEE Trans. Haptics, 2018

Online optimal trajectory generation for robot table tennis.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2018

Approximate Value Iteration Based on Numerical Quadrature.

[BibT_eX]

[DOI]

Bastian Bischoff

IEEE Robotics Autom. Lett., 2018

Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

Control of Musculoskeletal Systems Using Learned Dynamics Models.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2018

Model-Free Trajectory-based Policy Optimization with Monotonic Improvement.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2018

An Algorithmic Perspective on Imitation Learning.

[BibT_eX]

[DOI]

Found. Trends Robotics, 2018

Assisting Movement Training and Execution With Visual and Haptic Feedback.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2018

Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control.

[BibT_eX]

[DOI]

CoRR, 2018

In-Hand Object Stabilization by Independent Finger Control.

[BibT_eX]

[DOI]

Benoni B. Edin

CoRR, 2018

f-Divergence constrained policy improvement.

[BibT_eX]

[DOI]

CoRR, 2018

Using probabilistic movement primitives in robotics.

[BibT_eX]

[DOI]

Auton. Robots, 2018

A kernel-based approach to learning contact distributions for robot manipulation tasks.

[BibT_eX]

[DOI]

Auton. Robots, 2018

Probabilistic movement primitives under unknown system dynamics.

[BibT_eX]

[DOI]

Adv. Robotics, 2018

Hierarchical reinforcement learning of multiple grasping strategies with human instructions.

[BibT_eX]

[DOI]

Takayuki Osa

Adv. Robotics, 2018

Regularizing Reinforcement Learning with State Abstraction.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Learning Coupled Forward-Inverse Models with Combined Prediction Errors.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos.

[BibT_eX]

[DOI]

Paavo Parmas

Kenji Doya

Proceedings of the 35th International Conference on Machine Learning, 2018

Online Learning of an Open-Ended Skill Library for Collaborative Tasks.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Utilizing Human Feedback in POMDP Execution and Specification.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Robot Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Policy Gradient Methods.

[BibT_eX]

[DOI]

Amir Masoud Ghalamzan Esfahani

J. Andrew Bagnell

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Whole-body multi-contact motion in humans and humanoids: Advances of the CoDyCo European project.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2017

Probabilistic Prioritization of Movement Primitives.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2017

Guiding Trajectory Optimization by Demonstrated Distributions.

[BibT_eX]

[DOI]

Takayuki Osa

IEEE Robotics Autom. Lett., 2017

A Comparison of Autoregressive Hidden Markov Models for Multimodal Manipulations With Variable Masses.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2017

Generalized exploration in policy search.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Stability of Controllers for Gaussian Process Dynamics.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Non-parametric Policy Search with Limited Information Loss.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Towards Engagement Models that Consider Individual Factors in HRI: On the Relation of Extroversion and Negative Attitude Towards Robots to Gaze and Speech During a Human-Robot Assembly Task - Experiments with the iCub humanoid.

[BibT_eX]

[DOI]

Int. J. Soc. Robotics, 2017

Phase estimation for fast action recognition and trajectory generation in human-robot collaboration.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2017

Learning movement primitive libraries through probabilistic segmentation.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2017

Manifold-based multi-objective policy search with sample reuse.

[BibT_eX]

[DOI]

Simone Parisi

Matteo Pirotta

Neurocomputing, 2017

Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2017

Probabilistic movement primitives for coordination of multiple human-robot collaborative tasks.

[BibT_eX]

[DOI]

Auton. Robots, 2017

Anticipatory action selection for human-robot table tennis.

[BibT_eX]

[DOI]

Artif. Intell., 2017

Model-based contextual policy search for data-efficient generalization of robot skills.

[BibT_eX]

[DOI]

Andras Gabor Kupcsik

Artif. Intell., 2017

Goal-driven dimensionality reduction for reinforcement learning.

[BibT_eX]

[DOI]

Simone Parisi

Simon Ramstedt

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Hybrid control trajectory optimization under uncertainty.

[BibT_eX]

[DOI]

Ville Kyrki

Michael C. Koval

Siddhartha S. Srinivasa

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Context-driven movement primitive adaptation.

[BibT_eX]

[DOI]

Daniel Wilbers

Rudolf Lioutikov

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Empowered skills.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Layered direct policy search for learning hierarchical skills.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

A learning-based shared control architecture for interactive task execution.

[BibT_eX]

[DOI]

Paolo Robuffo Giordano

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Local Bayesian Optimization of Motor Skills.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Efficient online adaptation with stochastic recurrent neural networks.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

A comparison of distance measures for learning nonparametric motor skill libraries.

[BibT_eX]

[DOI]

Svenja Stark

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

Learning inverse dynamics models in O(n) time with LSTM networks.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

Investigating Music imagery as a Cognitive Paradigm for low-Cost brain-Computer Interfaces.

[BibT_eX]

[DOI]

Lukas Großberger

Matthias R. Hohmann

Proceedings of the From Vision to Reality, 2017

Bayesian Regression for Artifact correction in Electroencephalography.

[BibT_eX]

[DOI]

Proceedings of the From Vision to Reality, 2017

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals.

[BibT_eX]

[DOI]

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Active Incremental Learning of Robot Movement Primitives.

[BibT_eX]

[DOI]

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

State-Regularized Policy Search for Linearized Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

Policy Search with High-Dimensional Context Variables.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Robot Learning.

[BibT_eX]

[DOI]

Proceedings of the Springer Handbook of Robotics, 2016

Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2016

Probabilistic inference for determining options in reinforcement learning.

[BibT_eX]

[DOI]

Mach. Learn., 2016

Hierarchical Relative Entropy Policy Search.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller.

[BibT_eX]

[DOI]

J. Intell. Robotic Syst., 2016

Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws?

[BibT_eX]

[DOI]

CoRR, 2016

Bayesian optimization for learning gaits under uncertainty - An experimental comparison on a dynamic bipedal walker.

[BibT_eX]

[DOI]

André Seyfarth

Ann. Math. Artif. Intell., 2016

Local-utopia policy selection for multi-objective reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Multi-task logistic regression in brain-computer interfaces.

[BibT_eX]

[DOI]

Karl-Heinz Fiebig

Vinay Jayaram

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016

Catching heuristics are optimal control policies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies.

[BibT_eX]

[DOI]

Takayuki Osa

Proceedings of the International Symposium on Experimental Robotics, 2016

Active tactile object exploration with Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Probabilistic decomposition of sequential force interaction tasks into Movement Primitives.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

A new trajectory generation framework in robotic table tennis.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Stable reinforcement learning with autoencoders for tactile and visual data.

[BibT_eX]

[DOI]

Nutan Chen

Maximilian Karl

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Manifold Gaussian Processes for regression.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Learning soft task priorities for control of redundant robots.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Movement primitives with multiple phase parameters.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

A lightweight robotic arm with pneumatic muscles for robot learning.

[BibT_eX]

[DOI]

Dieter Buchler

Heiko Ott

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Stability of Controllers for Gaussian Process Forward Models.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep spiking networks for model-based planning in humanoids.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Demonstration based trajectory optimization for generalizable robot motions.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Jointly learning trajectory generation and hitting point prediction in robot table tennis.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Using probabilistic movement primitives for striking movements.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Incremental imitation learning of context-dependent motor skills.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Model-Based Relative Entropy Stochastic Search.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Anticipative Interaction Primitives for Human-Robot Collaboration.

[BibT_eX]

[DOI]

Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2015

Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2015

Multimodal Manipulation Under Uncertainty (Dagstuhl Seminar 15411).

[BibT_eX]

[DOI]

Justus H. Piater

Robert Platt Jr.

Siddhartha S. Srinivasa

Dagstuhl Reports, 2015

Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations.

[BibT_eX]

[DOI]

CoRR, 2015

Towards engagement models that consider individual factors in HRI: on the relation of extroversion and negative attitude towards robots to gaze and speech during a human-robot assembly task.

[BibT_eX]

[DOI]

CoRR, 2015

Active reward learning with a novel acquisition function.

[BibT_eX]

[DOI]

Auton. Robots, 2015

A Probabilistic Framework for Semi-autonomous Robots Based on Interaction Primitives with Phase Estimation.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, 2015

Combined pose-wrench and state machine representation for modeling Robotic Assembly Skills.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Stabilizing novel objects by learning to predict tactile slip.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Reinforcement learning vs human programming in tetherball robot games.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Model-free Probabilistic Movement Primitives for physical interaction.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Probabilistic progress prediction and sequencing of concurrent movement primitives.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning optimal striking points for a ping-pong playing robot.

[BibT_eX]

[DOI]

Yanlong Huang

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning motor skills from partially observed movements executed at different speeds.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Extracting low-dimensional control variables for movement primitives.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Towards learning hierarchical skills for multi-phase manipulation tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Learning multiple collaborative tasks with a mixture of Interaction Primitives.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Learning inverse dynamics models with contacts.

[BibT_eX]

[DOI]

Serena Ivaldi

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Contextual Policy Search for Generalizing a Parameterized Biped Walking Controller.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Autonomous Robot Systems and Competitions, 2015

Probabilistic segmentation applied to an assembly task.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

A comparison of contact distribution representations for learning to predict object interactions.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Optimizing robot striking movement primitives with Iterative Learning Control.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Learning robot in-hand manipulation with tactile features.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Evaluation of tactile feature extraction for interactive object recognition.

[BibT_eX]

[DOI]

Janine Hoelscher

Tucker Hermans

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

First-person tele-operation of a humanoid robot.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Learning torque control in presence of contacts using tactile sensing from robot skin.

[BibT_eX]

[DOI]

Serena Ivaldi

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Learning of Non-Parametric Control Policies with High-Dimensional State Features.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Policy Evaluation with Temporal Differences: A Survey and Comparison (Extended Abstract).

[BibT_eX]

[DOI]

Christoph Dann

Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

2014

Learning Motor Skills - From Algorithms to Robot Experiments

[BibT_eX]

[DOI]

Springer Tracts in Advanced Robotics 97, Springer, ISBN: 978-3-319-03193-4, 2014

Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2014

Natural evolution strategies.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Policy evaluation with temporal differences: a survey and comparison.

[BibT_eX]

[DOI]

Christoph Dann

J. Mach. Learn. Res., 2014

Generalizing Movements with Information-Theoretic Stochastic Optimal Control.

[BibT_eX]

[DOI]

J. Aerosp. Inf. Syst., 2014

Learning modular policies for robotics.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2014

Learning strategies in table tennis using inverse reinforcement learning.

[BibT_eX]

[DOI]

Biol. Cybern., 2014

Special issue on autonomous grasping and manipulation.

[BibT_eX]

[DOI]

Auton. Robots, 2014

Indirect robot model learning for tracking control.

[BibT_eX]

[DOI]

Botond Attila Bócsi

Lehel Csató

Adv. Robotics, 2014

Active Reward Learning.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems X, 2014

Policy Search for Path Integral Control.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Bayesian Gait Optimization for Bipedal Locomotion.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization, 2014

Learning to sequence movement primitives from demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Latent space policy search for robotics.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Predicting object interactions from contact distributions.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Learning robot tactile sensing for object manipulation.

[BibT_eX]

[DOI]

Yevgen Chebotar

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Sample-based informationl-theoretic stochastic optimal control.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning to predict phases of manipulation tasks as hidden states.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Multi-task policy search for robotics.

[BibT_eX]

[DOI]

Dieter Fox

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

An experimental comparison of Bayesian optimization for bipedal locomotion.

[BibT_eX]

[DOI]

André Seyfarth

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Policy search for learning robot control using sparse data.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Interaction primitives for human-robot cooperation tasks.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Multi-modal filtering for non-linear estimation.

[BibT_eX]

[DOI]

Sanket Kamthe

Proceedings of the IEEE International Conference on Acoustics, 2014

Omnidirectional Walking with a Compliant Inverted Pendulum Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Autonomous Systems 13, 2014

Robust policy updates for stochastic optimal control.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Learning interaction for collaborative tasks with probabilistic movement primitives.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Tools for simulating humanoid robot dynamics: A survey based on user feedback.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Dimensionality reduction for probabilistic movement primitives.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Generalizing pouring actions between objects using warped parameters.

[BibT_eX]

[DOI]

Sascha Brandi

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013

Probabilistic movement modeling for intention inference in human-robot interaction.

[BibT_eX]

[DOI]

Zhikun Wang

Int. J. Robotics Res., 2013

Learning to select and generalize striking movements in robot table tennis.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2013

Reinforcement learning in robotics: A survey.

[BibT_eX]

[DOI]

J. Andrew Bagnell

Int. J. Robotics Res., 2013

A Survey on Policy Search for Robotics.

[BibT_eX]

[DOI]

Found. Trends Robotics, 2013

Multi-Task Policy Search.

[BibT_eX]

[DOI]

Dieter Fox

CoRR, 2013

Probabilistic model-based imitation learning.

[BibT_eX]

[DOI]

Alexandros Paraschos

Adapt. Behav., 2013

Towards Robot Skill Learning: From Simple Skills to Table Tennis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Probabilistic Movement Primitives.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning responsive robot behavior by imitation.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Autonomous reinforcement learning with hierarchical REPS.

[BibT_eX]

[DOI]

Christian Daniel

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Alignment-based transfer learning for robot models.

[BibT_eX]

[DOI]

Botond Bocsi

Lehel Csató

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Feedback error learning for rhythmic motor primitives.

[BibT_eX]

[DOI]

Nakul Gopalan

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Model-based imitation learning by probabilistic trajectory matching.

[BibT_eX]

[DOI]

Alexandros Paraschos

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Learning sequential motor tasks.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

A probabilistic approach to robot trajectory generation.

[BibT_eX]

[DOI]

Alexandros Paraschos

Proceedings of the 13th IEEE-RAS International Conference on Humanoid Robots, 2013

Probabilistic interactive segmentation for anthropomorphic robots in cluttered environments.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE-RAS International Conference on Humanoid Robots, 2013

Data-Efficient Generalization of Robot Skills with Contextual Policy Search.

[BibT_eX]

[DOI]

Andras Gabor Kupcsik

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Online Kernel-Based Learning for Task-Space Tracking Robot Control.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components.

[BibT_eX]

[DOI]

Christoph H. Lampert

J. Real Time Image Process., 2012

Hierarchical Relative Entropy Policy Search.

[BibT_eX]

[DOI]

Christian Daniel

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Special issue on "Bio-inspired computing for autonomous vehicles".

[BibT_eX]

[DOI]

Yang Gao

Antonios Tsourdos

Int. J. Intell. Comput. Cybern., 2012

Learning Prioritized Control of Motor Primitives

[BibT_eX]

[DOI]

CoRR, 2012

Reinforcement learning to adjust parametrized motor primitives to new situations.

[BibT_eX]

[DOI]

Auton. Robots, 2012

Probabilistic Modeling of Human Movements for Intention Inference.

[BibT_eX]

[DOI]

Zhikun Wang

Proceedings of the Robotics: Science and Systems VIII, 2012

Structured Apprenticeship Learning.

[BibT_eX]

[DOI]

Oliver Krömer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Algorithms for Learning Markov Field Policies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A brain-robot interface for studying motor learning after stroke.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Learning throwing and catching skills.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Maximally informative interaction learning for scene exploration.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Toward fast policy search for learning legged locomotion.

[BibT_eX]

[DOI]

André Seyfarth

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Learning concurrent motor skills in versatile solution spaces.

[BibT_eX]

[DOI]

Christian Daniel

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Generalization of human grasping for multi-fingered robot hands.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

A kernel-based approach to direct action perception.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Learning tracking control with forward models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Point cloud completion using extrusions.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

Preface.

[BibT_eX]

[DOI]

Csaba Szepesvári

Proceedings of the Tenth European Workshop on Reinforcement Learning, 2012

Robot Skill Learning.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2012, 2012

Reinforcement Learning in Robotics: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Reinforcement Learning, 2012

2011

Learning Dynamic Tactile Sensing With Robust Vision-Based Training.

[BibT_eX]

[DOI]

Christoph H. Lampert

IEEE Trans. Robotics, 2011

Learning grasp affordance densities.

[BibT_eX]

[DOI]

Paladyn J. Behav. Robotics, 2011

Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning.

[BibT_eX]

[DOI]

Hirotaka Hachiya

Masashi Sugiyama

Neural Comput., 2011

Policy search for motor primitives in robotics.

[BibT_eX]

[DOI]

Mach. Learn., 2011

Relative Entropy Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Learning visual representations for perception-action systems.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2011

Incremental online sparsification for model learning in real-time robot control.

[BibT_eX]

[DOI]

Neurocomputing, 2011

Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2011

Model learning for robot control: a survey.

[BibT_eX]

[DOI]

Cogn. Process., 2011

PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off

[BibT_eX]

[DOI]

CoRR, 2011

PAC-Bayesian Analysis of Martingales and Multiarmed Bandits

[BibT_eX]

[DOI]

CoRR, 2011

A biomimetic approach to robot table tennis.

[BibT_eX]

[DOI]

Adapt. Behav., 2011

A Non-Parametric Approach to Dynamic Programming.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Learning anticipation policies for robot table tennis.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Learning task-space tracking control with kernels.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Learning elementary movements jointly with a higher level task.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Learning robot grasping from 3-D images with Markov Random Fields.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Learning inverse kinematics with structured prediction.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Trajectory planning for optimal robot catching in real-time.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

A flexible hybrid framework for modeling complex manipulation tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Active exploration for robot parameter selection in episodic reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

Modeling Opponent Actions for Table-Tennis Playing Robot.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Balancing Safety and Exploitability in Opponent Modeling.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

From Motor Learning to Interaction Learning in Robots.

[BibT_eX]

[DOI]

Olivier Sigaud

Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Real-Time Local GP Model Learning.

[BibT_eX]

[DOI]

Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling.

[BibT_eX]

[DOI]

Betty J. Mohler

Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Learning Continuous Grasp Affordances by Sensorimotor Exploration.

[BibT_eX]

[DOI]

Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Robot Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Policy Gradient Methods.

[BibT_eX]

[DOI]

J. Andrew Bagnell

Proceedings of the Encyclopedia of Machine Learning, 2010

Policy gradient methods.

[BibT_eX]

[DOI]

Scholarpedia, 2010

Combining active learning and reactive control for robot grasping.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2010

Imitation and Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Mag., 2010

Parameter-exploring policy gradients.

[BibT_eX]

[DOI]

Neural Networks, 2010

Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning.

[BibT_eX]

[DOI]

Neural Comput., 2010

Incremental Sparsification for Real-time Online Model Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Recurrent policy gradients.

[BibT_eX]

[DOI]

Log. J. IGPL, 2010

Algorithmen zum Automatischen Erlernen von Motorfähigkeiten (Policy Learning Algorithms for Motor Skills).

[BibT_eX]

[DOI]

Autom., 2010

Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery.

[BibT_eX]

[DOI]

Manuel Gomez-Rodriguez

Proceedings of the IEEE International Conference on Systems, 2010

Simulating Human Table Tennis with a Biomimetic Robot Setup.

[BibT_eX]

[DOI]

Proceedings of the From Animals to Animats 11, 2010

Adapting Preshaped Grasping Movements Using Vision Descriptors.

[BibT_eX]

[DOI]

Proceedings of the From Animals to Animats 11, 2010

Reinforcement Learning to adjust Robot Movements to New Situations.

[BibT_eX]

[DOI]

Erhan Öztop

Proceedings of the Robotics: Science and Systems VI, 2010

Movement extraction by detecting dynamics switches and repetitions.

[BibT_eX]

[DOI]

Silvia Chiappa

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Switched Latent Force Models for Movement Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Experiments with Motor Primitives in Table Tennis.

[BibT_eX]

[DOI]

Proceedings of the Experimental Robotics, 2010

Learning probabilistic discriminative models of grasp affordances under limited supervision.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Using model knowledge for learning inverse dynamics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Movement templates for learning of hitting and batting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Grasping with Vision Descriptors and Motor Primitives.

[BibT_eX]

Proceedings of the ICINCO 2010, 2010

Learning table tennis with a Mixture of Motor Primitives.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

Relative Entropy Policy Search.

[BibT_eX]

[DOI]

Yasemin Altun

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Robot learning [TC Spotlight].

[BibT_eX]

[DOI]

IEEE Robotics Autom. Mag., 2009

Adaptive importance sampling for value function approximation in off-policy reinforcement learning.

[BibT_eX]

[DOI]

Neural Networks, 2009

Policy Search for Motor Primitives.

[BibT_eX]

[DOI]

Künstliche Intell., 2009

An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Gaussian process dynamic programming.

[BibT_eX]

[DOI]

Neurocomputing, 2009

Guest editorial: Special issue on robot learning, Part B.

[BibT_eX]

[DOI]

Andrew Y. Ng

Auton. Robots, 2009

Guest editorial: Special issue on robot learning, Part A.

[BibT_eX]

[DOI]

Andrew Y. Ng

Auton. Robots, 2009

Model Learning with Local Gaussian Process Regression.

[BibT_eX]

[DOI]

Adv. Robotics, 2009

Efficient Sample Reuse in EM-Based Policy Search.

[BibT_eX]

[DOI]

Hirotaka Hachiya

Masashi Sugiyama

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Learning Visual Representations for Interactive Systems.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research - The 14th International Symposium, 2009

Towards Motor Skill Learning for Robotics.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research - The 14th International Symposium, 2009

Sparse online model learning for robot control with support vector regression.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Active learning using mean shift optimization for robot grasping.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Learning motor primitives for robotics.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Learning complex motions by sequencing simpler motion templates.

[BibT_eX]

[DOI]

Wolfgang Maass

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

09341 Summary - Cognition, Control and Learning for Robot Manipulation in Human Environments.

[BibT_eX]

[DOI]

Proceedings of the Cognition, 2009

09341 Abstracts Collection - Cognition, Control and Learning for Robot Manipulation in Human Environments.

[BibT_eX]

[DOI]

Proceedings of the Cognition, 2009

Active Structured Learning for High-Speed Object Detection.

[BibT_eX]

[DOI]

Christoph H. Lampert

Proceedings of the Pattern Recognition, 2009

A Computational Model of Human Table Tennis for Robot Application.

[BibT_eX]

[DOI]

Proceedings of the Autonome Mobile Systeme 2009, 2009

Learning New Basic Movements for Robotics.

[BibT_eX]

[DOI]

Proceedings of the Autonome Mobile Systeme 2009, 2009

Using reward-weighted imitation for robot Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

Efficient data reuse in value function approximation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008

Reinforcement learning of motor skills with policy gradients.

[BibT_eX]

[DOI]

Neural Networks, 2008

Machine Learning for motor skills in robotics.

[BibT_eX]

[DOI]

Künstliche Intell., 2008

Learning to Control in Operational Space.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2008

Operational Space Control: A Theoretical and Empirical Comparison.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2008

Natural Actor-Critic.

[BibT_eX]

[DOI]

Neurocomputing, 2008

Manifold-valued Thin-Plate Splines with Applications in Computer Graphics.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2008

A unifying framework for robot control with redundant DOFs.

[BibT_eX]

[DOI]

Auton. Robots, 2008

Fitness Expectation Maximization.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2008

Local Gaussian Process Regression for Real Time Online Model Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Fitted Q-iteration by Advantage Weighted Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Using Bayesian Dynamical Systems for Motion Template Libraries.

[BibT_eX]

[DOI]

Silvia Chiappa

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Local Gaussian process regression for real-time model-based robot control.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Learning perceptual coupling for motor primitives.

[BibT_eX]

[DOI]

Betty J. Mohler

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Real-time learning of resolved velocity control on a Mitsubishi PA-10.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Episodic Reinforcement Learning by Logistic Reward-Weighted Regression.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2008

Policy Gradients with Parameter-Based Exploration for Control.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2008

Policy Learning - A Unified Perspective with Applications in Robotics.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

Learning Inverse Dynamics: a Comparison.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Model-Based Reinforcement Learning with Continuous States and Actions.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Natural Evolution Strategies.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Computed torque control with nonparametric regression models.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2008

Approximate dynamic programming with Gaussian processes.

[BibT_eX]

[DOI]

Carl E. Rasmussen

Proceedings of the American Control Conference, 2008

Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Computational Intelligence: Principles, Techniques and Applications.

[BibT_eX]

[DOI]

Comput. J., 2007

Towards compliant humanoids-an experimental assessment of suitable task space position/orientation controllers.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Reinforcement Learning for Operational Space Control.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Policy Learning for Motor Skills.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Reinforcement learning by reward-weighted regression for operational space control.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Solving Deep Memory POMDPs with Recurrent Policy Gradients.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning.

[BibT_eX]

[DOI]

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Towards Machine Learning of Motor Skills.

[BibT_eX]

[DOI]

Proceedings of the Autonome Mobile Systeme 2007, 2007

2006

A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems II, 2006

Learning Operational Space Control.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems II, 2006

Policy Gradient Methods for Robotics.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Reinforcement Learning for Parameterized Motor Primitives.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

A unifying methodology for the control of robotic systems.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Comparative experiments on task space control with redundancy resolution.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Natural Actor-Critic.

[BibT_eX]

[DOI]

Sethu Vijayakumar

Proceedings of the Machine Learning: ECML 2005, 2005

2003

Learning Movement Primitives.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, The Eleventh International Symposium, 2003

2002

Searching a Scalable Approach to Cerebellar Based Control.

[BibT_eX]

[DOI]