Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

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Title
A Deep Reinforcement Learning Approach for Dynamically Stable Inverse Kinematics of Humanoid Robots S. Teja Parijat Dewangan P. Guhan Abhishek Sarkar K Madhava Krishna 25 55 0 31 Jan 2018
Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations Jonathan Lee Michael Laskey Roy Fox Ken Goldberg 13 4 0 31 Jan 2018
Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process Haosheng Zou Hang Su Shihong Song Jun Zhu 27 48 0 25 Jan 2018
Learning Symmetric and Low-energy Locomotion Wenhao Yu Greg Turk Chenxi Liu 40 183 0 24 Jan 2018
An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients Jiaming Song Yuhuai Wu 35 2 0 17 Jan 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator Maryam Fazel Rong Ge Sham Kakade M. Mesbahi 35 597 0 15 Jan 2018
Autonomous Driving in Reality with Reinforcement Learning and Image Translation N. Xu Bowen Tan Bingyu Kong 16 36 0 13 Jan 2018
Model-Based Action Exploration for Learning Dynamic Motion Skills Glen Berseth M. van de Panne 38 0 0 11 Jan 2018
Expected Policy Gradients for Reinforcement Learning K. Ciosek Shimon Whiteson 50 51 0 10 Jan 2018
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes Igor Adamski R. Adamski T. Grel Adam Jedrych Kamil Kaczmarek Henryk Michalewski OffRL 41 37 0 09 Jan 2018
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning Charles B. Schaff David Yunis Ayan Chakrabarti Matthew R. Walter 18 100 0 04 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 28 8,170 0 04 Jan 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 56 1,105 0 02 Jan 2018
f-Divergence constrained policy improvement Boris Belousov Jan Peters 13 19 0 29 Dec 2017
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation Bo Dai Albert Eaton Shaw Lihong Li Lin Xiao Niao He Zhen Liu Jianshu Chen Le Song 34 25 0 29 Dec 2017
Boosting the Actor with Dual Critic Bo Dai Albert Eaton Shaw Niao He Lihong Li Le Song 35 46 0 29 Dec 2017
RLlib: Abstractions for Distributed Reinforcement Learning Eric Liang Richard Liaw Philipp Moritz Robert Nishihara Roy Fox Ken Goldberg Joseph E. Gonzalez Michael I. Jordan Ion Stoica OffRL AI4CE 31 173 0 26 Dec 2017
A short variational proof of equivalence between policy gradients and soft Q learning Pierre Harvey Richemond B. Maginnis 16 5 0 22 Dec 2017
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator Stephen Tu Benjamin Recht OffRL 37 130 0 22 Dec 2017
On Wasserstein Reinforcement Learning and the Fokker-Planck equation Pierre Harvey Richemond B. Maginnis 22 23 0 19 Dec 2017
Safe Policy Improvement with Baseline Bootstrapping Romain Laroche P. Trichelair Rémi Tachet des Combes OffRL 30 198 0 19 Dec 2017
ES Is More Than Just a Traditional Finite-Difference Approximator Joel Lehman Jay Chen Jeff Clune Kenneth O. Stanley 25 89 0 18 Dec 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 47 686 0 18 Dec 2017
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients Joel Lehman Jay Chen Jeff Clune Kenneth O. Stanley 25 93 0 18 Dec 2017
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents Edoardo Conti Vashisht Madhavan F. Such Joel Lehman Kenneth O. Stanley Jeff Clune 27 342 0 18 Dec 2017
A Berkeley View of Systems Challenges for AI Ion Stoica D. Song Raluca A. Popa D. Patterson Michael W. Mahoney ... Joseph E. Gonzalez Ken Goldberg A. Ghodsi David Culler Pieter Abbeel 32 199 0 15 Dec 2017
Safe Policy Search with Gaussian Process Models Kyriakos Polymenakos Alessandro Abate Stephen J. Roberts 27 4 0 15 Dec 2017
Robust Deep Reinforcement Learning with Adversarial Attacks Anay Pattanaik Zhenyi Tang Shuijing Liu Gautham Bommannan Girish Chowdhary OOD 18 303 0 11 Dec 2017
Noisy Natural Gradient as Variational Inference Guodong Zhang Shengyang Sun David Duvenaud Roger C. Grosse ODL 30 210 0 06 Dec 2017
Bayesian Policy Gradients via Alpha Divergence Dropout Inference Peter Henderson T. Doan Riashat Islam David Meger BDL 20 13 0 06 Dec 2017
A Deeper Look at Experience Replay Shangtong Zhang R. Sutton OffRL VLM 47 269 0 04 Dec 2017
Variational Deep Q Network Yunhao Tang A. Kucukelbir BDL 38 10 0 30 Nov 2017
Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control Shangtong Zhang Osmar R. Zaiane 42 10 0 30 Nov 2017
Learnings Options End-to-End for Continuous Action Tasks Martin Klissarov Pierre-Luc Bacon J. Harb Doina Precup 13 54 0 30 Nov 2017
Hierarchical Policy Search via Return-Weighted Density Estimation Takayuki Osa Masashi Sugiyama 21 15 0 28 Nov 2017
Variational Inference for Gaussian Process Models with Linear Complexity Ching-An Cheng Byron Boots BDL 24 75 0 28 Nov 2017
Divide-and-Conquer Reinforcement Learning Dibya Ghosh Avi Singh Aravind Rajeswaran Vikash Kumar Sergey Levine OffRL 45 125 0 27 Nov 2017
Cascade Attribute Learning Network Zhuo Xu Haonan Chang Masayoshi Tomizuka 33 4 0 24 Nov 2017
Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces Daniel Levy Stefano Ermon 29 4 0 21 Nov 2017
Run, skeleton, run: skeletal model in a physics-based simulation Mikhail Pavlov Sergey Kolesnikov Sergey Plis AI4CE 26 14 0 18 Nov 2017
How Generative Adversarial Networks and Their Variants Work: An Overview Yongjun Hong Uiwon Hwang Jaeyoon Yoo Sungroh Yoon GAN 41 153 0 16 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 40 684 0 15 Nov 2017
Learning Image-Conditioned Dynamics Models for Control of Under-actuated Legged Millirobots Anusha Nagabandi Guangzhao Yang T. Asmar Ravi Pandya G. Kahn Sergey Levine R. Fearing AI4CE 8 22 0 14 Nov 2017
Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning Richard Liaw S. Krishnan Animesh Garg D. Crankshaw Joseph E. Gonzalez Ken Goldberg BDL 32 23 0 04 Nov 2017
Policy Optimization by Genetic Distillation Tanmay Gangwani Jian-wei Peng 19 18 0 03 Nov 2017
Regret Minimization for Partially Observable Deep Reinforcement Learning Peter H. Jin Kurt Keutzer Sergey Levine 29 51 0 31 Oct 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 53 740 0 30 Oct 2017
Action-depedent Control Variates for Policy Optimization via Stein's Identity Hao Liu Yihao Feng Yi Mao Dengyong Zhou Jian-wei Peng Qiang Liu 35 4 0 30 Oct 2017
Meta Learning Shared Hierarchies Kevin Frans Jonathan Ho Xi Chen Pieter Abbeel John Schulman 28 349 0 26 Oct 2017
Fast Model Identification via Physics Engines for Data-Efficient Policy Search Shaojun Zhu A. Kimmel Kostas E. Bekris Abdeslam Boularias 31 14 0 24 Oct 2017