Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

49 / 1,149 papers shown

Title
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation I. Popov N. Heess Timothy Lillicrap Roland Hafner Gabriel Barth-Maron Matej Vecerík Thomas Lampe Yuval Tassa Tom Erez Martin Riedmiller OffRL 17 263 0 10 Apr 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 47 360 0 10 Apr 2017
DART: Noise Injection for Robust Imitation Learning Michael Laskey Jonathan Lee Roy Fox Anca Dragan Ken Goldberg 32 244 0 27 Mar 2017
Deep Deterministic Policy Gradient for Urban Traffic Light Control Noe Casas 29 165 0 27 Mar 2017
Failures of Gradient-Based Deep Learning Shai Shalev-Shwartz Ohad Shamir Shaked Shammah ODL UQCV 34 198 0 23 Mar 2017
Learning to Navigate Cloth using Haptics Alexander Clegg Wenhao Yu Zackory M. Erickson Jie Tan Chenxi Liu Greg Turk 13 23 0 20 Mar 2017
Sensor Fusion for Robot Control through Deep Reinforcement Learning Steven Bohez Tim Verbelen E. D. Coninck B. Vankeirsbilck Pieter Simoens Bart Dhoedt SSL 8 29 0 13 Mar 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 22 1,516 0 10 Mar 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning Yevgen Chebotar Karol Hausman Marvin Zhang Gaurav Sukhatme S. Schaal Sergey Levine 19 159 0 08 Mar 2017
Learning a Unified Control Policy for Safe Falling Visak C. V. Kumar Sehoon Ha Karen Liu 15 19 0 08 Mar 2017
Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran Kendall Lowrey E. Todorov Sham Kakade OffRL 24 276 0 08 Mar 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 29 235 0 06 Mar 2017
Reinforcement Learning for Pivoting Task Rika Antonova S. Cruciani Christian Smith Danica Kragic 8 68 0 01 Mar 2017
Learning Control for Air Hockey Striking using Deep Reinforcement Learning Ayal Taitler N. Shimkin 15 10 0 26 Feb 2017
Learning to Multi-Task by Active Sampling Sahil Sharma Ashutosh Jha Parikshit Hegde Balaraman Ravindran 10 21 0 20 Feb 2017
Uncertainty-Aware Reinforcement Learning for Collision Avoidance G. Kahn Adam R. Villaflor Vitchyr H. Pong Pieter Abbeel Sergey Levine 30 311 0 03 Feb 2017
Deep Reinforcement Learning for Robotic Manipulation-The state of the art S. Amarjyoti 18 65 0 31 Jan 2017
Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning Francois Belletti Daniel Haziza G. Gomes Alexandre M. Bayen 6 139 0 30 Jan 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Imitating Driver Behavior with Generative Adversarial Networks Alex Kuefler Jeremy Morton T. Wheeler Mykel Kochenderfer GAN 29 405 0 24 Jan 2017
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments Jingwei Zhang Jost Tobias Springenberg Joschka Boedecker Wolfram Burgard 11 295 0 16 Dec 2016
Model-based Adversarial Imitation Learning Nir Baram Oron Anschel Shie Mannor GAN 22 42 0 07 Dec 2016
Generalizing Skills with Semi-Supervised Reinforcement Learning Chelsea Finn Tianhe Yu Justin Fu Pieter Abbeel Sergey Levine OffRL SSL 19 67 0 01 Dec 2016
#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 F. Turck Pieter Abbeel OffRL 48 760 0 15 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 35 1,007 0 09 Nov 2016
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic S. Gu Timothy Lillicrap Zoubin Ghahramani Richard Turner Sergey Levine OffRL BDL 13 342 0 07 Nov 2016
Modular Multitask Reinforcement Learning with Policy Sketches Jacob Andreas Dan Klein Sergey Levine OffRL 18 458 0 06 Nov 2016
Combining policy gradient and Q-learning Brendan O'Donoghue Rémi Munos Koray Kavukcuoglu Volodymyr Mnih OffRL OnRL 24 139 0 05 Nov 2016
Deep Learning Approximation for Stochastic Control Problems Jiequn Han E. Weinan BDL 16 190 0 02 Nov 2016
Sim-to-Real Robot Learning from Pixels with Progressive Nets Andrei A. Rusu Matej Vecerík Thomas Rothörl N. Heess Razvan Pascanu R. Hadsell 34 532 0 13 Oct 2016
Reset-free Trial-and-Error Learning for Robot Damage Recovery Konstantinos Chatzilygeroudis Vassilis Vassiliades Jean-Baptiste Mouret 13 102 0 13 Oct 2016
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model Paul Christiano Zain Shah Igor Mordatch Jonas Schneider T. Blackwell Joshua Tobin Pieter Abbeel Wojciech Zaremba PINN 16 248 0 11 Oct 2016
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search Ali Yahya A. Li Mrinal Kalakrishnan Yevgen Chebotar Sergey Levine OffRL 16 155 0 03 Oct 2016
Path Integral Guided Policy Search Yevgen Chebotar Mrinal Kalakrishnan Ali Yahya A. Li S. Schaal Sergey Levine 14 149 0 03 Oct 2016
Deep Reinforcement Learning for Tensegrity Robot Locomotion Marvin Zhang Xinyang Geng J. Bruce Ken Caluwaerts Massimo Vespignani Vytas SunSpiral Pieter Abbeel Sergey Levine 12 92 0 28 Sep 2016
A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction Ali Ghadirzadeh Judith Butepage A. Maki Danica Kragic Mårten Björkman 17 49 0 27 Jul 2016
Continuously Learning Neural Dialogue Management Pei-hao Su Milica Gasic N. Mrksic L. Rojas-Barahona Stefan Ultes David Vandyke Tsung-Hsien Wen S. Young 19 122 0 08 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 13 5,023 0 05 Jun 2016
Model-Free Imitation Learning with Policy Optimization Jonathan Ho Jayesh K. Gupta Stefano Ermon 16 149 0 26 May 2016
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games Xiaoxiao Guo Satinder Singh Richard L. Lewis Honglak Lee 14 55 0 24 Apr 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 16 1,684 0 22 Apr 2016
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards S. Krishnan Animesh Garg Richard Liaw Lauren Miller Florian T. Pokorny Ken Goldberg 20 40 0 21 Apr 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 16 1,008 0 02 Mar 2016
PLATO: Policy Learning using Adaptive Trajectory Optimization G. Kahn Tianhao Zhang Sergey Levine Pieter Abbeel 22 136 0 02 Mar 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 8 8,757 0 04 Feb 2016
Memory-based control with recurrent neural networks N. Heess Jonathan J. Hunt Timothy Lillicrap David Silver 18 301 0 14 Dec 2015
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints Eric Tzeng Coline Devin Judy Hoffman Chelsea Finn Pieter Abbeel Sergey Levine Kate Saenko Trevor Darrell OOD 24 138 0 23 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 14 13,110 0 09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 11 3,316 0 08 Jun 2015