Pieter Abbeel

Emergence of Grounded Compositional Language in Multi-Agent Populations

Igor Mordatch, Pieter Abbeel

Reverse Curriculum Generation for Reinforcement Learning

Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel

Comments Published at the 1st Conference on Robot Learning (CoRL 2017)

Automatic Goal Generation for Reinforcement Learning Agents

Carlos Florensa, David Held, Xinyang Geng, Pieter Abbeel

Comments Accepted at ICML 2018, Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, PMLR 80, 2018

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation

YuXuan Liu, Abhishek Gupta, Pieter Abbeel, Sergey Levine

Comments Accepted at ICRA 2018, Brisbane. YuXuan Liu and Abhishek Gupta had equal contribution

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings

John D. Co-Reyes, YuXuan Liu, Abhishek Gupta, Benjamin Eysenbach, Pieter Abbeel, Sergey Levine

Comments Accepted at ICML 2018

Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation

Gregory Kahn, Adam Villaflor, Bosen Ding, Pieter Abbeel, Sergey Levine

Comments ICRA 2018

Evolved Policy Gradients

Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel

The Limits and Potentials of Deep Learning for Robotics

Niko Sünderhauf, Oliver Brock, Walter Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke

Stochastic Adversarial Video Prediction

Alex X. Lee, Richard Zhang, Frederik Ebert, Pieter Abbeel, Chelsea Finn, Sergey Levine

Comments Website: https://alexlee-gk.github.io/video_prediction/

Universal Planning Networks

Aravind Srinivas, Allan Jabri, Pieter Abbeel, Sergey Levine, Chelsea Finn

Comments Videos available at https://sites.google.com/view/upn-public/home

Domain Randomization and Generative Models for Robotic Grasping

Joshua Tobin, Lukas Biewald, Rocky Duan, Marcin Andrychowicz, Ankur Handa, Vikash Kumar, Bob McGrew, Jonas Schneider, Peter Welinder, Wojciech Zaremba, Pieter Abbeel

Comments 8 pages, 11 figures. Submitted to 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines

Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M Bayen, Sham Kakade, Igor Mordatch, Pieter Abbeel

Comments Accepted to ICLR 2018, Oral (2%)

Composable Deep Reinforcement Learning for Robotic Manipulation

Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou, Murtaza Dalal, Pieter Abbeel, Sergey Levine

Comments Videos: https://sites.google.com/view/composing-real-world-policies/

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel

Comments First two authors contributed equally. Video available at https://sites.google.com/view/vrlfd/

Overcoming Exploration in Reinforcement Learning with Demonstrations

Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel

Comments 8 pages, ICRA 2018

A Simple Neural Attentive Meta-Learner

Nikhil Mishra, Mostafa Rohaninejad, Xi Chen, Pieter Abbeel

Comments iclr 2018 version

Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments

Maruan Al-Shedivat, Trapit Bansal, Yuri Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel

Comments Published as a conference paper at ICLR 2018

Hindsight Experience Replay

Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, Wojciech Zaremba

Meta-Reinforcement Learning of Structured Exploration Strategies

Abhishek Gupta, Russell Mendonca, YuXuan Liu, Pieter Abbeel, Sergey Levine

Interpretable and Pedagogical Examples

Smitha Milli, Pieter Abbeel, Igor Mordatch

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning

Tianhe Yu, Chelsea Finn, Annie Xie, Sudeep Dasari, Tianhao Zhang, Pieter Abbeel, Sergey Levine

Comments First two authors contributed equally. Video available at https://sites.google.com/view/daml

Parameter Space Noise for Exploration

Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz

Comments Updated to camera-ready ICLR submission

PixelSNAIL: An Improved Autoregressive Generative Model

Xi Chen, Nikhil Mishra, Mostafa Rohaninejad, Pieter Abbeel

A Berkeley View of Systems Challenges for AI

Ion Stoica, Dawn Song, Raluca Ada Popa, David Patterson, Michael W. Mahoney, Randy Katz, Anthony D. Joseph, Michael Jordan, Joseph M. Hellerstein, Joseph E. Gonzalez, Ken Goldberg, Ali Ghodsi, David Culler, Pieter Abbeel

Comments Berkeley Technical Report

One-Shot Imitation Learning

Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel

Comments 10 pages main text + 10 pages supplementary. Published at NIPS 2017

UCB Exploration via Q-Ensembles

Richard Y. Chen, Szymon Sidor, Pieter Abbeel, John Schulman

Meta Learning Shared Hierarchies

Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman

Asymmetric Actor Critic for Image-Based Robot Learning

Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel

Comments Videos of experiments can be found at http://www.goo.gl/b57WTs

Synkhronos: a Multi-GPU Theano Extension for Data Parallelism

Adam Stooke, Pieter Abbeel