Pieter Abbeel

According to our database1, Pieter Abbeel authored at least 290 papers between 2002 and 2018.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to apprenticeship and reinforcement learning for robotics and autonomous systems".

Timeline

Legend:

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PhD thesis 
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Homepages:

On csauthors.net:

Bibliography

2018
DeepMimic: example-guided deep reinforcement learning of physics-based character skills.
ACM Trans. Graph., 2018

The limits and potentials of deep learning for robotics.
I. J. Robotics Res., 2018

An Algorithmic Perspective on Imitation Learning.
Foundations and Trends in Robotics, 2018

One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks.
CoRR, 2018

Establishing Appropriate Trust via Critical States.
CoRR, 2018

Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation.
CoRR, 2018

ProMP: Proximal Meta-Policy Search.
CoRR, 2018

SFV: Reinforcement Learning of Physical Skills from Videos.
CoRR, 2018

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow.
CoRR, 2018

Model-Based Reinforcement Learning via Meta-Policy Optimization.
CoRR, 2018

SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning.
CoRR, 2018

Transfer Learning for Estimating Causal Effects using Neural Networks.
CoRR, 2018

Variational Option Discovery Algorithms.
CoRR, 2018

Learning Plannable Representations with Causal InfoGAN.
CoRR, 2018

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings.
CoRR, 2018

The Limits and Potentials of Deep Learning for Robotics.
CoRR, 2018

Latent Space Policies for Hierarchical Reinforcement Learning.
CoRR, 2018

DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills.
CoRR, 2018

Stochastic Adversarial Video Prediction.
CoRR, 2018

Universal Planning Networks.
CoRR, 2018

Learning to Adapt: Meta-Learning for Model-Based Control.
CoRR, 2018

Learning Robotic Assembly from CAD.
CoRR, 2018

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines.
CoRR, 2018

Composable Deep Reinforcement Learning for Robotic Manipulation.
CoRR, 2018

Accelerated Methods for Deep Reinforcement Learning.
CoRR, 2018

Some Considerations on Learning to Explore via Meta-Reinforcement Learning.
CoRR, 2018

Model-Ensemble Trust-Region Policy Optimization.
CoRR, 2018

Meta-Reinforcement Learning of Structured Exploration Strategies.
CoRR, 2018

Evolved Policy Gradients.
CoRR, 2018

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning.
CoRR, 2018

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.
CoRR, 2018

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Learning Robotic Assembly from CAD.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Overcoming Exploration in Reinforcement Learning with Demonstrations.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Self-Supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Composable Deep Reinforcement Learning for Robotic Manipulation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Deep Object-Centric Representations for Generalizable Robot Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control.
Proceedings of the 35th International Conference on Machine Learning, 2018

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.
Proceedings of the 35th International Conference on Machine Learning, 2018

Latent Space Policies for Hierarchical Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Automatic Goal Generation for Reinforcement Learning Agents.
Proceedings of the 35th International Conference on Machine Learning, 2018

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings.
Proceedings of the 35th International Conference on Machine Learning, 2018

PixelSNAIL: An Improved Autoregressive Generative Model.
Proceedings of the 35th International Conference on Machine Learning, 2018

Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Model-Based Reinforcement Learning via Meta-Policy Optimization.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Learning with Opponent-Learning Awareness.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Learning Generalized Reactive Policies Using Deep Neural Networks.
Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

Modular Architecture for StarCraft II with Deep Reinforcement Learning.
Proceedings of the Fourteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2018

Emergence of Grounded Compositional Language in Multi-Agent Populations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Autonomous Helicopter Flight Using Reinforcement Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Inverse Reinforcement Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning.
I. J. Robotics Res., 2017

Yale-CMU-Berkeley dataset for robotic manipulation research.
I. J. Robotics Res., 2017

PixelSNAIL: An Improved Autoregressive Generative Model.
CoRR, 2017

A Berkeley View of Systems Challenges for AI.
CoRR, 2017

Safer Classification by Synthesis.
CoRR, 2017

Inverse Reward Design.
CoRR, 2017

Interpretable and Pedagogical Examples.
CoRR, 2017

Meta Learning Shared Hierarchies.
CoRR, 2017

Asymmetric Actor Critic for Image-Based Robot Learning.
CoRR, 2017

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization.
CoRR, 2017

Domain Randomization and Generative Models for Robotic Grasping.
CoRR, 2017

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation.
CoRR, 2017

Synkhronos: a Multi-GPU Theano Extension for Data Parallelism.
CoRR, 2017

Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments.
CoRR, 2017

Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation.
CoRR, 2017

Overcoming Exploration in Reinforcement Learning with Demonstrations.
CoRR, 2017

One-Shot Visual Imitation Learning via Meta-Learning.
CoRR, 2017

Learning with Opponent-Learning Awareness.
CoRR, 2017

Learning Generalized Reactive Policies using Deep Neural Networks.
CoRR, 2017

Deep Object-Centric Representations for Generalizable Robot Learning.
CoRR, 2017

Mutual Alignment Transfer Learning.
CoRR, 2017

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World.
CoRR, 2017

Third-Person Imitation Learning.
CoRR, 2017

Equivalence Between Policy Gradients and Soft Q-Learning.
CoRR, 2017

Parameter Space Noise for Exploration.
CoRR, 2017

Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation.
CoRR, 2017

Emergence of Grounded Compositional Language in Multi-Agent Populations.
CoRR, 2017

Meta-Learning with Temporal Convolutions.
CoRR, 2017

Prediction and Control with Temporal Segment Models.
CoRR, 2017

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments.
CoRR, 2017

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation.
CoRR, 2017

Learning Visual Servoing with Deep Features and Fitted Q-Iteration.
CoRR, 2017

A K-fold Method for Baseline Estimation in Policy Gradient Algorithms.
CoRR, 2017

Uncertainty-Aware Reinforcement Learning for Collision Avoidance.
CoRR, 2017

Adversarial Attacks on Neural Network Policies.
CoRR, 2017

Enabling Robots to Communicate their Objectives.
CoRR, 2017

Probabilistically Safe Policy Transfer.
CoRR, 2017

Automatic Goal Generation for Reinforcement Learning Agents.
CoRR, 2017

Reinforcement Learning with Deep Energy-Based Policies.
CoRR, 2017

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning.
CoRR, 2017

Reverse Curriculum Generation for Reinforcement Learning.
CoRR, 2017

Stochastic Neural Networks for Hierarchical Reinforcement Learning.
CoRR, 2017

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks.
CoRR, 2017

One-Shot Imitation Learning.
CoRR, 2017

UCB and InfoGain Exploration via $\boldsymbol{Q}$-Ensembles.
CoRR, 2017

Hindsight Experience Replay.
CoRR, 2017

Constrained Policy Optimization.
CoRR, 2017

Inverse Reinforcement Learning via Deep Gaussian Process.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Enabling Robots to Communicate Their Objectives.
Proceedings of the Robotics: Science and Systems XIII, 2017

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Inverse Reward Design.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

One-Shot Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hindsight Experience Replay.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Gradescope: A Fast, Flexible, and Fair System for Scalable Assessment of Handwritten Work.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Domain randomization for transferring deep neural networks from simulation to the real world.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Policy transfer via modularity and reward guiding.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Value Iteration Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

The Off-Switch Game.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep reinforcement learning for tensegrity robot locomotion.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning from the hindsight plan - Episodic MPC improvement.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Combining self-supervised learning and imitation for vision-based rope manipulation.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

PLATO: Policy learning using adaptive trajectory optimization.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Probabilistically safe policy transfer.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning modular neural network policies for multi-task and multi-robot transfer.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Prediction and Control with Temporal Segment Models.
Proceedings of the 34th International Conference on Machine Learning, 2017

Reinforcement Learning with Deep Energy-Based Policies.
Proceedings of the 34th International Conference on Machine Learning, 2017

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Constrained Policy Optimization.
Proceedings of the 34th International Conference on Machine Learning, 2017

Mutual Alignment Transfer Learning.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Reverse Curriculum Generation for Reinforcement Learning.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

One-Shot Visual Imitation Learning via Meta-Learning.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

The Off-Switch Game.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
End-to-End Training of Deep Visuomotor Policies.
Journal of Machine Learning Research, 2016

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning.
CoRR, 2016

Learning from the Hindsight Plan - Episodic MPC Improvement.
CoRR, 2016

Value Iteration Networks.
CoRR, 2016

Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States.
CoRR, 2016

PLATO: Policy Learning using Adaptive Trajectory Optimization.
CoRR, 2016

Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks.
CoRR, 2016

The Off-Switch Game.
CoRR, 2016

Cooperative Inverse Reinforcement Learning.
CoRR, 2016

Backprop KF: Learning Discriminative Deterministic State Estimators.
CoRR, 2016

Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration.
CoRR, 2016

Deep Reinforcement Learning for Tensegrity Robot Locomotion.
CoRR, 2016

Generalizing Skills with Semi-Supervised Reinforcement Learning.
CoRR, 2016

Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization.
CoRR, 2016

A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models.
CoRR, 2016

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning.
CoRR, 2016

Benchmarking Deep Reinforcement Learning for Continuous Control.
CoRR, 2016

Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer.
CoRR, 2016

Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model.
CoRR, 2016

Variational Lossy Autoencoder.
CoRR, 2016

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets.
CoRR, 2016

Learning to Poke by Poking: Experiential Learning of Intuitive Physics.
CoRR, 2016

Toward a Science of Autonomy for Physical Systems: Paths.
CoRR, 2016

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

Combinatorial Energy Learning for Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

VIME: Variational Information Maximizing Exploration.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Cooperative Inverse Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Backprop KF: Learning Discriminative Deterministic State Estimators.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Occlusion-aware multi-robot 3D tracking.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Sequential quadratic programming for task plan optimization.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Learning dexterous manipulation for a soft robotic hand from human demonstrations.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

One-shot learning of manipulation skills with online dynamics adaptation and neural network priors.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Learning deep neural network policies with continuous memory states.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Model-based reinforcement learning with parametrized physical models and optimism-driven exploration.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Combining model-based policy search with online model learning for control of physical humanoids.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Deep spatial autoencoders for visuomotor learning.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Guided search for task and motion plans using learned heuristics.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Benchmarking Deep Reinforcement Learning for Continuous Control.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Planning Curvature and Torsion Constrained Ribbons in 3D With Application to Intracavitary Brachytherapy.
IEEE Trans. Automation Science and Engineering, 2015

A Survey of Research on Cloud Robotics and Automation.
IEEE Trans. Automation Science and Engineering, 2015

Benchmarking in Manipulation Research: Using the Yale-CMU-Berkeley Object and Model Set.
IEEE Robot. Automat. Mag., 2015

Policy Learning with Continuous Memory States for Partially Observed Robotic Control.
CoRR, 2015

Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search.
CoRR, 2015

Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration.
CoRR, 2015

Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models.
CoRR, 2015

High-Dimensional Continuous Control Using Generalized Advantage Estimation.
CoRR, 2015

Trust Region Policy Optimization.
CoRR, 2015

Gradient Estimation Using Stochastic Computation Graphs.
CoRR, 2015

Combinatorial Energy Learning for Image Segmentation.
CoRR, 2015

Learning Contact-Rich Manipulation Skills with Guided Policy Search.
CoRR, 2015

End-to-End Training of Deep Visuomotor Policies.
CoRR, 2015

One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors.
CoRR, 2015

Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders.
CoRR, 2015

Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols.
CoRR, 2015

Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Gradient Estimation Using Stochastic Computation Graphs.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Transition State Clustering: Unsupervised Surgical Trajectory Segmentation for Robot Learning.
Proceedings of the Robotics Research, 2015

Optimized color models for high-quality 3D scanning.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Leveraging appearance priors in non-rigid registration, with application to manipulation of deformable objects.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning compound multi-step controllers under unknown dynamics.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Modular task and motion planning in belief space.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Toward asymptotically optimal motion planning for kinodynamic systems using a two-point boundary value problem solver.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Deep learning helicopter dynamics models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Range sensor and silhouette fusion for high-quality 3D Scanning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Learning by observation for surgical subtasks: Multilateral cutting of 3D viscoelastic and 2D Orthotropic Tissue Phantoms.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Optimism-driven exploration for nonlinear systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

GP-GPIS-OPT: Grasp planning with shape uncertainty using Gaussian process implicit surfaces and Sequential Convex Programming.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Learning contact-rich manipulation skills with guided policy search.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Learning force-based manipulation of deformable objects from multiple demonstrations.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

A non-rigid point and normal registration algorithm with applications to learning from demonstrations.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Physics-based trajectory optimization for grasping in cluttered environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Active exploration using trajectory optimization for robotic grasping in the presence of occlusions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Beyond lowest-warping cost action selection in trajectory transfer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Trust Region Policy Optimization.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Alpha-Beta Divergences Discover Micro and Macro Structures in Data.
Proceedings of the 32nd International Conference on Machine Learning, 2015

The YCB object and Model set: Towards common benchmarks for manipulation research.
Proceedings of the International Conference on Advanced Robotics, 2015

A single-use haptic palpation probe for locating subcutaneous blood vessels in robot-assisted minimally invasive surgery.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

Multi-armed bandit models for 2D grasp planning with uncertainty.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

Tractability of Planning with Loops.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data.
IEEE Trans. Intelligent Transportation Systems, 2014

Motion planning with sequential convex optimization and convex collision checking.
I. J. Robotics Res., 2014

Planning Curvature and Torsion Constrained Ribbons in 3D with Application to Intracavitary Brachytherapy.
Proceedings of the Algorithmic Foundations of Robotics XI, 2014

Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation.
Proceedings of the Algorithmic Foundations of Robotics XI, 2014

Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Combined task and motion planning through an extensible planner-independent interface layer.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

BigBIRD: A large-scale 3D database of object instances.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Gaussian belief space planning with discontinuities in sensing domains.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Predicting initialization effectiveness for trajectory optimization.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Autonomous multilateral debridement with the Raven surgical robot.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Planning locally optimal, curvature-constrained trajectories in 3D using sequential convex optimization.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Optimization-Based Artifact Correction for Electron Microscopy Image Stacks.
Proceedings of the Computer Vision - ECCV 2014, 2014

Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

2013
Large-Scale Estimation in Cyberphysical Systems Using Streaming Data: A Case Study With Arterial Traffic Estimation.
IEEE Trans. Automation Science and Engineering, 2013

Arriving on time: estimating travel time distributions on large-scale road networks
CoRR, 2013

Discriminative Probabilistic Models for Relational Data
CoRR, 2013

Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization.
Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013

Learning from Demonstrations Through the Use of Non-rigid Registration.
Proceedings of the Robotics Research, 2013

Multimodal blending for high-accuracy instance recognition.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

A case study of trajectory transfer through non-rigid registration for a simplified suturing scenario.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Sigma hulls for Gaussian belief space planning for imprecise articulated robots amid obstacles.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Grounding spatial relations for human-robot interaction.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Tracking deformable objects with point clouds.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Insect-machine hybrid system.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

An algorithm for computing customized 3D printed implants with curvature constrained channels for enhancing intracavitary brachytherapy radiation delivery.
Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013

2012
Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network.
IEEE Trans. Intelligent Transportation Systems, 2012

A geometric approach to robotic laundry folding.
I. J. Robotics Res., 2012

Large Scale Estimation in Cyberphysical Systems using Streaming Data: a Case Study with Smartphone Traces
CoRR, 2012

Learning Factor Graphs in Polynomial Time & Sample Complexity
CoRR, 2012

Safe Exploration in Markov Decision Processes
CoRR, 2012

The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data.
Proceedings of the Algorithmic Foundations of Robotics X, 2012

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

Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds.
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 Constraint-Aware Motion Planning Algorithm for Robotic Folding of Clothes.
Proceedings of the Experimental Robotics, 2012

Performance analysis and terrain classification for a legged robot over rough terrain.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

A textured object recognition pipeline for color and depth image data.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

A robot path planning framework that learns from experience.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Safe Exploration in Markov Decision Processes .
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information.
I. J. Robotics Res., 2011

The path inference filter: model-based low-latency map matching of probe vehicle data
CoRR, 2011

Grasping and Fixturing as Submodular Coverage Problems.
Proceedings of the Robotics Research, 2011

Perception for the manipulation of socks.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

EG-RRT: Environment-guided random trees for kinodynamic motion planning with uncertainty and obstacles.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Parametrized shape models for clothing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Modeling and perception of deformable one-dimensional objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Bringing clothing into desired configurations with limited perception.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Scaling the mobile millennium system in the cloud.
Proceedings of the ACM Symposium on Cloud Computing in conjunction with SOSP 2011, 2011

2010
Autonomous Helicopter Flight Using Reinforcement Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Inverse Reinforcement Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Autonomous Helicopter Aerobatics through Apprenticeship Learning.
I. J. Robotics Res., 2010

LQG-Based Planning, Sensing, and Control of Steerable Needles.
Proceedings of the Algorithmic Foundations of Robotics IX, 2010

Gravity-Based Robotic Cloth Folding.
Proceedings of the Algorithmic Foundations of Robotics IX, 2010

LQG-MP: Optimized Path Planning for Robots with Motion Uncertainty and Imperfect State Information.
Proceedings of the Robotics: Science and Systems VI, 2010

On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient.
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

Estimating arterial traffic conditions using sparse probe data.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

Parameterized maneuver learning for autonomous helicopter flight.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

On the influence of ship motion prediction accuracy on motion planning and control of robotic manipulators on seaborne platforms.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009
Apprenticeship learning for helicopter control.
Commun. ACM, 2009

2008
Max-margin Classification of Data with Absent Features.
Journal of Machine Learning Research, 2008

Autonomous Autorotation of an RC Helicopter.
Proceedings of the Experimental Robotics, The Eleventh International Symposium, 2008

Apprenticeship learning for motion planning with application to parking lot navigation.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Learning for control from multiple demonstrations.
Proceedings of the Machine Learning, 2008

2007
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Learning Factor Graphs in Polynomial Time and Sample Complexity.
Journal of Machine Learning Research, 2006

Max-margin classification of incomplete data.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

An Application of Reinforcement Learning to Aerobatic Helicopter Flight.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Using inaccurate models in reinforcement learning.
Proceedings of the Machine Learning, 2006

Efficient L1 Regularized Logistic Regression.
Proceedings of the Proceedings, 2006

2005
Learning Factor Graphs in Polynomial Time & Sample Complexity.
Proceedings of the UAI '05, 2005

Discriminative Training of Kalman Filters.
Proceedings of the Robotics: Science and Systems I, 2005

Learning vehicular dynamics, with application to modeling helicopters.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Exploration and apprenticeship learning in reinforcement learning.
Proceedings of the Machine Learning, 2005

2004
Learning first-order Markov models for control.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Apprenticeship learning via inverse reinforcement learning.
Proceedings of the Machine Learning, 2004

2003
Link Prediction in Relational Data.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Discriminative Probabilistic Models for Relational Data.
Proceedings of the UAI '02, 2002


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