Trust Region Policy Optimization

Trust Region Policy Optimization

19 February 2015

Michael I. Jordan

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

16 / 1,216 papers shown

Title
Deep Reinforcement Learning for Tensegrity Robot Locomotion Marvin Zhang Xinyang Geng J. Bruce Ken Caluwaerts Massimo Vespignani Vytas SunSpiral Pieter Abbeel Sergey Levine 17 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 22 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 32 122 0 08 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 15 5,023 0 05 Jun 2016
Model-Free Imitation Learning with Policy Optimization Jonathan Ho Jayesh K. Gupta Stefano Ermon 21 149 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 16 55 0 24 Apr 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 18 1,685 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 30 40 0 21 Apr 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 25 1,008 0 02 Mar 2016
PLATO: Policy Learning using Adaptive Trajectory Optimization G. Kahn Tianhao Zhang Sergey Levine Pieter Abbeel 26 136 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 13 8,765 0 04 Feb 2016
Memory-based control with recurrent neural networks N. Heess Jonathan J. Hunt Timothy Lillicrap David Silver 29 301 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
Learning Continuous Control Policies by Stochastic Value Gradients N. Heess Greg Wayne David Silver Timothy Lillicrap Yuval Tassa Tom Erez 19 557 0 30 Oct 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 19 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 13 3,316 0 08 Jun 2015