Pieter Abbeel

Affiliations:
  • University of California, Berkeley, USA
  • Stanford University, USA


According to our database1, Pieter Abbeel authored at least 487 papers between 2002 and 2024.

Collaborative distances:

Awards

IEEE Fellow

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

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation.
CoRR, 2024

Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs.
CoRR, 2024

MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting.
CoRR, 2024

Twisting Lids Off with Two Hands.
CoRR, 2024

Video as the New Language for Real-World Decision Making.
CoRR, 2024

Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings.
CoRR, 2024

A StrongREJECT for Empty Jailbreaks.
CoRR, 2024

World Model on Million-Length Video And Language With Blockwise RingAttention.
CoRR, 2024

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control.
CoRR, 2024

FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning.
CoRR, 2024

Functional Graphical Models: Structure Enables Offline Data-Driven Optimization.
CoRR, 2024

Any-point Trajectory Modeling for Policy Learning.
CoRR, 2024

2023
Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2023

Learning a Diffusion Model Policy from Rewards via Q-Score Matching.
CoRR, 2023

Motion-Conditioned Image Animation for Video Editing.
CoRR, 2023

Scalable Diffusion for Materials Generation.
CoRR, 2023

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing.
CoRR, 2023

Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game.
CoRR, 2023

The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning.
CoRR, 2023

Managing AI Risks in an Era of Rapid Progress.
CoRR, 2023

Interactive Task Planning with Language Models.
CoRR, 2023

Video Language Planning.
CoRR, 2023

Exploration with Principles for Diverse AI Supervision.
CoRR, 2023

Learning Interactive Real-World Simulators.
CoRR, 2023

Foundation Reinforcement Learning: towards Embodied Generalist Agents with Foundation Prior Assistance.
CoRR, 2023

Ring Attention with Blockwise Transformers for Near-Infinite Context.
CoRR, 2023

Speed Co-Augmentation for Unsupervised Audio-Visual Pre-training.
CoRR, 2023

GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators.
CoRR, 2023

Language Reward Modulation for Pretraining Reinforcement Learning.
CoRR, 2023

Learning to Model the World with Language.
CoRR, 2023

SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks.
CoRR, 2023

ALP: Action-Aware Embodied Learning for Perception.
CoRR, 2023

Probabilistic Adaptation of Text-to-Video Models.
CoRR, 2023

Blockwise Parallel Transformer for Long Context Large Models.
CoRR, 2023

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.
CoRR, 2023

The False Promise of Imitating Proprietary LLMs.
CoRR, 2023

RoboPianist: A Benchmark for High-Dimensional Robot Control.
CoRR, 2023

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
CoRR, 2023

Foundation Models for Decision Making: Problems, Methods, and Opportunities.
CoRR, 2023

Aligning Text-to-Image Models using Human Feedback.
CoRR, 2023

Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning.
CoRR, 2023

Chain of Hindsight Aligns Language Models with Feedback.
CoRR, 2023

Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment.
CoRR, 2023

Learning Universal Policies via Text-Guided Video Generation.
CoRR, 2023

Robust and Versatile Bipedal Jumping Control through Reinforcement Learning.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Blockwise Parallel Transformers for Large Context Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Video Prediction Models as Rewards for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Universal Policies via Text-Guided Video Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Impact of Overall Optimization on Warehouse Automation.
IROS, 2023

Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects.
IROS, 2023

Self-Supervised Instance Segmentation by Grasping.
IROS, 2023

Train Offline, Test Online: A Real Robot Learning Benchmark.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

The Wisdom of Hindsight Makes Language Models Better Instruction Followers.
Proceedings of the International Conference on Machine Learning, 2023

Temporally Consistent Transformers for Video Generation.
Proceedings of the International Conference on Machine Learning, 2023

Masked Trajectory Models for Prediction, Representation, and Control.
Proceedings of the International Conference on Machine Learning, 2023

Multi-Environment Pretraining Enables Transfer to Action Limited Datasets.
Proceedings of the International Conference on Machine Learning, 2023

Multi-View Masked World Models for Visual Robotic Manipulation.
Proceedings of the International Conference on Machine Learning, 2023

Controllability-Aware Unsupervised Skill Discovery.
Proceedings of the International Conference on Machine Learning, 2023

Emergent Agentic Transformer from Chain of Hindsight Experience.
Proceedings of the International Conference on Machine Learning, 2023

Guiding Pretraining in Reinforcement Learning with Large Language Models.
Proceedings of the International Conference on Machine Learning, 2023

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning.
Proceedings of the International Conference on Machine Learning, 2023

Become a Proficient Player with Limited Data through Watching Pure Videos.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dichotomy of Control: Separating What You Can Control from What You Cannot.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Preference Transformer: Modeling Human Preferences using Transformers for RL.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning.
Proceedings of the Conference on Robot Learning, 2023

Language-Conditioned Path Planning.
Proceedings of the Conference on Robot Learning, 2023

Improving Long-Horizon Imitation through Instruction Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Innovation Paths for Machine Learning in Robotics [Industry Activities].
IEEE Robotics Autom. Mag., 2022

Dichotomy of Control: Separating What You Can Control from What You Cannot.
CoRR, 2022

FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners.
CoRR, 2022

Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models.
CoRR, 2022

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning.
CoRR, 2022

Skill-Based Reinforcement Learning with Intrinsic Reward Matching.
CoRR, 2022

Temporally Consistent Video Transformer for Long-Term Video Prediction.
CoRR, 2022

Patch-based Object-centric Transformers for Efficient Video Generation.
CoRR, 2022

Multimodal Masked Autoencoders Learn Transferable Representations.
CoRR, 2022

An Empirical Investigation of Representation Learning for Imitation.
CoRR, 2022

Coarse-to-fine Q-attention with Tree Expansion.
CoRR, 2022

Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning.
CoRR, 2022

Coarse-to-Fine Q-attention with Learned Path Ranking.
CoRR, 2022

Reinforcement Learning with Action-Free Pre-Training from Videos.
CoRR, 2022

It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation.
CoRR, 2022

Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning.
CoRR, 2022

CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery.
CoRR, 2022

Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning.
CoRR, 2022

Explaining Reinforcement Learning Policies through Counterfactual Trajectories.
CoRR, 2022

AdaCat: Adaptive categorical discretization for autoregressive models.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Chain of Thought Imitation with Procedure Cloning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Masked Autoencoding for Scalable and Generalizable Decision Making.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unsupervised Reinforcement Learning with Contrastive Intrinsic Control.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Hierarchical Planning from Pixels.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Playful Interactions for Representation Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Multi-Objective Policy Gradients with Topological Constraints.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Towards More Generalizable One-shot Visual Imitation Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Reinforcement Learning with Action-Free Pre-Training from Videos.
Proceedings of the International Conference on Machine Learning, 2022

Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks.
Proceedings of the International Conference on Machine Learning, 2022

Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents.
Proceedings of the International Conference on Machine Learning, 2022

SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Hierarchical Few-Shot Imitation with Skill Transition Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking.
Proceedings of the Computer Vision - ECCV 2022, 2022

Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction.
Proceedings of the Computer Vision - ECCV 2022, 2022

Zero-Shot Text-Guided Object Generation with Dream Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DayDreamer: World Models for Physical Robot Learning.
Proceedings of the Conference on Robot Learning, 2022

Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data.
Proceedings of the Conference on Robot Learning, 2022

Masked World Models for Visual Control.
Proceedings of the Conference on Robot Learning, 2022

Real-World Robot Learning with Masked Visual Pre-training.
Proceedings of the Conference on Robot Learning, 2022

Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision.
Proceedings of the Conference on Robot Learning, 2022

Frozen Pretrained Transformers as Universal Computation Engines.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
AMP: adversarial motion priors for stylized physics-based character control.
ACM Trans. Graph., 2021

LaND: Learning to Navigate From Disengagements.
IEEE Robotics Autom. Lett., 2021

BADGR: An Autonomous Self-Supervised Learning-Based Navigation System.
IEEE Robotics Autom. Lett., 2021

Target Entropy Annealing for Discrete Soft Actor-Critic.
CoRR, 2021

Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning.
CoRR, 2021

Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning.
CoRR, 2021

Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates.
CoRR, 2021

The MineRL BASALT Competition on Learning from Human Feedback.
CoRR, 2021

Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments.
CoRR, 2021

Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL.
CoRR, 2021

JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data.
CoRR, 2021

VideoGPT: Video Generation using VQ-VAE and Transformers.
CoRR, 2021

GEM: Group Enhanced Model for Learning Dynamical Control Systems.
CoRR, 2021

Pretrained Transformers as Universal Computation Engines.
CoRR, 2021

Mastering Atari Games with Limited Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Teachable Reinforcement Learning via Advice Distillation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reinforcement Learning with Latent Flow.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Behavior From the Void: Unsupervised Active Pre-Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

B-Pref: Benchmarking Preference-Based Reinforcement Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

URLB: Unsupervised Reinforcement Learning Benchmark.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decision Transformer: Reinforcement Learning via Sequence Modeling.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Empirical Investigation of Representation Learning for Imitation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Auto-Tuned Sim-to-Real Transfer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Decoupling Representation Learning from Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

State Entropy Maximization with Random Encoders for Efficient Exploration.
Proceedings of the 38th International Conference on Machine Learning, 2021

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

APS: Active Pretraining with Successor Features.
Proceedings of the 38th International Conference on Machine Learning, 2021

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training.
Proceedings of the 38th International Conference on Machine Learning, 2021

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Unsupervised Learning of Visual 3D Keypoints for Control.
Proceedings of the 38th International Conference on Machine Learning, 2021

Mutual Information State Intrinsic Control.
Proceedings of the 9th International Conference on Learning Representations, 2021

Reset-Free Lifelong Learning with Skill-Space Planning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning What To Do by Simulating the Past.
Proceedings of the 9th International Conference on Learning Representations, 2021

Task-Agnostic Morphology Evolution.
Proceedings of the 9th International Conference on Learning Representations, 2021

Self-Supervised Policy Adaptation during Deployment.
Proceedings of the 9th International Conference on Learning Representations, 2021

Efficient Empowerment Estimation for Unsupervised Stabilization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Contrastive Code Representation Learning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Bottleneck Transformers for Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
A Framework for Efficient Robotic Manipulation.
CoRR, 2020

Parallel Training of Deep Networks with Local Updates.
CoRR, 2020

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.
CoRR, 2020

Robust Reinforcement Learning using Adversarial Populations.
CoRR, 2020

Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning.
CoRR, 2020

Hybrid Discriminative-Generative Training via Contrastive Learning.
CoRR, 2020

Efficient Online Estimation of Empowerment for Reinforcement Learning.
CoRR, 2020

Self-Supervised Policy Adaptation during Deployment.
CoRR, 2020

Mutual Information Maximization for Robust Plannable Representations.
CoRR, 2020

Model-Augmented Actor-Critic: Backpropagating through Paths.
CoRR, 2020

GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction.
CoRR, 2020

Preventing Imitation Learning with Adversarial Policy Ensembles.
CoRR, 2020

Locally Masked Convolution for Autoregressive Models.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Learning to Manipulate Deformable Objects without Demonstrations.
Proceedings of the Robotics: Science and Systems XVI, 2020

AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos.
Proceedings of the Robotics: Science and Systems XVI, 2020

Automatic Curriculum Learning through Value Disagreement.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generalized Hindsight for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforcement Learning with Augmented Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Denoising Diffusion Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sparse Graphical Memory for Robust Planning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AvE: Assistance via Empowerment.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization.
Proceedings of Machine Learning and Systems 2020, 2020

Plan2Vec: Unsupervised Representation Learning by Latent Plans.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Responsive Safety in Reinforcement Learning by PID Lagrangian Methods.
Proceedings of the 37th International Conference on Machine Learning, 2020

Planning to Explore via Self-Supervised World Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

Hallucinative Topological Memory for Zero-Shot Visual Planning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Variable Skipping for Autoregressive Range Density Estimation.
Proceedings of the 37th International Conference on Machine Learning, 2020

CURL: Contrastive Unsupervised Representations for Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Hierarchically Decoupled Imitation For Morphological Transfer.
Proceedings of the 37th International Conference on Machine Learning, 2020

Sub-policy Adaptation for Hierarchical Reinforcement Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Model-Augmented Actor-Critic: Backpropagating through Paths.
Proceedings of the 8th International Conference on Learning Representations, 2020

Visual Imitation Made Easy.
Proceedings of the 4th Conference on Robot Learning, 2020

Learning Predictive Representations for Deformable Objects Using Contrastive Estimation.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Deep Unsupervised Cardinality Estimation.
Proc. VLDB Endow., 2019

Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards.
CoRR, 2019

Hierarchical Variational Imitation Learning of Control Programs.
CoRR, 2019

Natural Image Manipulation for Autoregressive Models Using Fisher Scores.
CoRR, 2019

Learning Efficient Representation for Intrinsic Motivation.
CoRR, 2019

Adaptive Online Planning for Continual Lifelong Learning.
CoRR, 2019

Geometry-Aware Neural Rendering.
CoRR, 2019

Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control.
CoRR, 2019

rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch.
CoRR, 2019

DoorGym: A Scalable Door Opening Environment And Baseline Agent.
CoRR, 2019

Dimensionality Reduction Flows.
CoRR, 2019

Benchmarking Model-Based Reinforcement Learning.
CoRR, 2019

Learning latent state representation for speeding up exploration.
CoRR, 2019

Learning Robotic Manipulation through Visual Planning and Acting.
CoRR, 2019

Selectivity Estimation with Deep Likelihood Models.
CoRR, 2019

Towards Characterizing Divergence in Deep Q-Learning.
CoRR, 2019

Visual Hindsight Experience Replay.
CoRR, 2019

Enabling robots to communicate their objectives.
Auton. Robots, 2019

Learning Robotic Manipulation through Visual Planning and Acting.
Proceedings of the Robotics: Science and Systems XV, 2019

Geometry-Aware Neural Rendering.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Evaluating Protein Transfer Learning with TAPE.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Guided Meta-Policy Search.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Compression with Flows via Local Bits-Back Coding.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Goal-conditioned Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Compositional Plan Vectors.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Utility of Learning about Humans for Human-AI Coordination.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

One-Shot Composition of Vision-Based Skills from Demonstration.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Domain Randomization for Active Pose Estimation.
Proceedings of the International Conference on Robotics and Automation, 2019

Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly.
Proceedings of the International Conference on Robotics and Automation, 2019

Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight.
Proceedings of the International Conference on Robotics and Automation, 2019

Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation.
Proceedings of the International Conference on Robotics and Automation, 2019

SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference.
Proceedings of the 36th International Conference on Machine Learning, 2019

Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables.
Proceedings of the 36th International Conference on Machine Learning, 2019

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules.
Proceedings of the 36th International Conference on Machine Learning, 2019

Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design.
Proceedings of the 36th International Conference on Machine Learning, 2019

Preferences Implicit in the State of the World.
Proceedings of the 7th International Conference on Learning Representations, 2019

ProMP: Proximal Meta-Policy Search.
Proceedings of the 7th International Conference on Learning Representations, 2019

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Guiding Policies with Language via Meta-Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks.
Proceedings of the International Conference on Computer-Aided Design, 2019

Analog Circuit Generator based on Deep Neural Network enhanced Combinatorial Optimization.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Asynchronous Methods for Model-Based Reinforcement Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Blue Gripper: A Robust, Low-Cost, and Force-Controlled Robot Hand.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
SFV: reinforcement learning of physical skills from videos.
ACM Trans. Graph., 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.
Int. J. Robotics Res., 2018

An Algorithmic Perspective on Imitation Learning.
Found. Trends Robotics, 2018

Soft Actor-Critic Algorithms and Applications.
CoRR, 2018

Guiding Policies with Language via Meta-Learning.
CoRR, 2018

One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks.
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

Stochastic Adversarial Video Prediction.
CoRR, 2018

Universal Planning Networks.
CoRR, 2018

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

Accelerated Methods for Deep Reinforcement Learning.
CoRR, 2018

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

Evolved Policy Gradients.
CoRR, 2018

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning.
Proceedings of the Robotics: Science and Systems XIV, 2018

Asymmetric Actor Critic for Image-Based Robot Learning.
Proceedings of the Robotics: Science and Systems XIV, 2018

The Importance of Sampling inMeta-Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Plannable Representations with Causal InfoGAN.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Evolved Policy Gradients.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Meta-Reinforcement Learning of Structured Exploration Strategies.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Domain Randomization and Generative Models for Robotic Grasping.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Establishing Appropriate Trust via Critical States.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines.
Proceedings of the 6th International Conference on Learning Representations, 2018

Parameter Space Noise for Exploration.
Proceedings of the 6th International Conference on Learning Representations, 2018

A Simple Neural Attentive Meta-Learner.
Proceedings of the 6th International Conference on Learning Representations, 2018

Model-Ensemble Trust-Region Policy Optimization.
Proceedings of the 6th International Conference on Learning Representations, 2018

Meta Learning Shared Hierarchies.
Proceedings of the 6th International Conference on Learning Representations, 2018

Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments.
Proceedings of the 6th International Conference on Learning Representations, 2018

PixelSNAIL: An Improved Autoregressive Generative Model.
Proceedings of the 6th International Conference on Learning Representations, 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

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

Learning Generalized Reactive Policies using Deep Neural Networks.
Proceedings of the 2018 AAAI Spring Symposia, 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.
Int. J. Robotics Res., 2017

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

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

Safer Classification by Synthesis.
CoRR, 2017

Interpretable and Pedagogical Examples.
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

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

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

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

Meta-Learning with Temporal Convolutions.
CoRR, 2017

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

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

Reverse Curriculum Generation for Reinforcement Learning.
CoRR, 2017

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

Hindsight Experience Replay.
CoRR, 2017

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

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

Third Person Imitation Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning Visual Servoing with Deep Features and Fitted Q-Iteration.
Proceedings of the 5th International Conference on Learning Representations, 2017

Adversarial Attacks on Neural Network Policies.
Proceedings of the 5th International Conference on Learning Representations, 2017

Stochastic Neural Networks for Hierarchical Reinforcement Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

Generalizing Skills with Semi-Supervised Reinforcement Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

Variational Lossy Autoencoder.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning.
Proceedings of the 5th International Conference on Learning Representations, 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.
J. Mach. Learn. Res., 2016

Value Iteration Networks.
CoRR, 2016

High-Dimensional Continuous Control Using Generalized Advantage Estimation.
Proceedings of the 4th International Conference on Learning Representations, 2016

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

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

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

Adapting Deep Visuomotor Representations with Weak Pairwise Constraints.
Proceedings of the Algorithmic Foundations of Robotics XII, 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 Autom. Sci. Eng., 2015

A Survey of Research on Cloud Robotics and Automation.
IEEE Trans Autom. Sci. Eng., 2015

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

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

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

Combinatorial Energy Learning for Image Segmentation.
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

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. Intell. Transp. Syst., 2014

Motion planning with sequential convex optimization and convex collision checking.
Int. J. Robotics Res., 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 Autom. Sci. Eng., 2013

Arriving on time: estimating travel time distributions on large-scale road networks
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. Intell. Transp. Syst., 2012

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

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

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
Apprenticeship learning and reinforcement learning with application to robotic control.
PhD thesis, 2008

Max-margin Classification of Data with Absent Features.
J. Mach. Learn. Res., 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.
J. Mach. Learn. Res., 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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