Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

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Title
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 54 106 0 12 Jun 2018
PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments Anirudha Majumdar M. Goldstein Anoopkumar Sonar 23 18 0 11 Jun 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 31 142 0 07 Jun 2018
Neural Control Variates for Variance Reduction Ruosi Wan Mingjun Zhong Haoyi Xiong Zhanxing Zhu BDL DRL 16 18 0 01 Jun 2018
Supervised Policy Update for Deep Reinforcement Learning Q. Vuong Yiming Zhang Keith Ross 19 20 0 29 May 2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition Justin Fu Avi Singh Dibya Ghosh Larry Yang Sergey Levine BDL 14 125 0 29 May 2018
Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning Wen Sun J. Andrew Bagnell Byron Boots 28 93 0 29 May 2018
Dual Policy Iteration Wen Sun Geoffrey J. Gordon Byron Boots J. Andrew Bagnell OffRL 18 56 0 28 May 2018
Fingerprint Policy Optimisation for Robust Reinforcement Learning Supratik Paul Michael A. Osborne Shimon Whiteson 32 18 0 27 May 2018
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning Julia Kreutzer Joshua Uyheng Stefan Riezler 28 85 0 27 May 2018
Fast Policy Learning through Imitation and Reinforcement Ching-An Cheng Xinyan Yan Nolan Wagener Byron Boots 26 83 0 26 May 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 24 65 0 25 May 2018
Object-Oriented Dynamics Predictor Guangxiang Zhu Zhiao Huang Chongjie Zhang AI4CE 24 36 0 25 May 2018
Intelligent Trainer for Model-Based Reinforcement Learning Yuanlong Li Linsen Dong Xin Zhou Yonggang Wen K. Guan OffRL 24 0 0 24 May 2018
Maximum Causal Tsallis Entropy Imitation Learning Kyungjae Lee Sungjoon Choi Songhwai Oh OOD 26 19 0 22 May 2018
Constrained Policy Improvement for Safe and Efficient Reinforcement Learning Elad Sarafian Aviv Tamar Sarit Kraus OffRL 32 11 0 20 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning Muhammad Abdullah Jamal Guo-Jun Qi M. Shah 52 456 0 20 May 2018
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations Mark Pfeiffer Samarth Shukla M. Turchetta Cesar Cadena Andreas Krause Roland Siegwart Juan I. Nieto 16 157 0 18 May 2018
Exploration by Distributional Reinforcement Learning Yunhao Tang Shipra Agrawal OOD 41 30 0 04 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 27 658 0 02 May 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
An Adaptive Clipping Approach for Proximal Policy Optimization Gang Chen Yiming Peng Mengjie Zhang 14 22 0 17 Apr 2018
Derivative free optimization via repeated classification Tatsunori B. Hashimoto Steve Yadlowsky John C. Duchi 11 18 0 11 Apr 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 107 170 0 03 Apr 2018
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning L. Kidzinski Sharada Mohanty Carmichael F. Ong Jennifer Hicks Sean F. Carroll Sergey Levine M. Salathé Scott L. Delp 29 60 0 31 Mar 2018
Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement Learning Li He Liang Wang Kaipeng Liu Bo Wu Weinan Zhang 29 7 0 20 Mar 2018
Setting up a Reinforcement Learning Task with a Real-World Robot A. R. Mahmood D. Korenkevych Brent Komer James Bergstra 26 75 0 19 Mar 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 16 72 0 13 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 873 0 03 Mar 2018
Some Considerations on Learning to Explore via Meta-Reinforcement Learning Bradly C. Stadie Ge Yang Rein Houthooft Xi Chen Yan Duan Yuhuai Wu Pieter Abbeel Ilya Sutskever LRM 25 116 0 03 Mar 2018
Multi-Agent Imitation Learning for Driving Simulation Raunak P. Bhattacharyya Derek J. Phillips Blake Wulfe Jeremy Morton Alex Kuefler Mykel J. Kochenderfer 22 118 0 02 Mar 2018
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application Yujing Hu Qing Da Anxiang Zeng Yang Yu Yinghui Xu 14 179 0 02 Mar 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning George Tucker Surya Bhupatiraju S. Gu Richard Turner Zoubin Ghahramani Sergey Levine OffRL 27 126 0 27 Feb 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills Yuke Zhu Ziyun Wang J. Merel Andrei A. Rusu Tom Erez ... S. Tunyasuvunakool János Kramár R. Hadsell Nando de Freitas N. Heess SSL 26 316 0 26 Feb 2018
Structured Control Nets for Deep Reinforcement Learning Mario Srouji Jian Zhang Ruslan Salakhutdinov 30 43 0 22 Feb 2018
Clipped Action Policy Gradient Yasuhiro Fujita S. Maeda OffRL 34 37 0 21 Feb 2018
Fourier Policy Gradients M. Fellows K. Ciosek Shimon Whiteson 35 15 0 19 Feb 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 49 227 0 13 Feb 2018
Hierarchical Learning for Modular Robots R. Kojcev Nora Etxezarreta Alejandro Hernández Víctor Mayoral 19 4 0 12 Feb 2018
Taking gradients through experiments: LSTMs and memory proximal policy optimization for black-box quantum control Moritz August José Miguel Hernández-Lobato 26 41 0 12 Feb 2018
Path Consistency Learning in Tsallis Entropy Regularized MDPs Ofir Nachum Yinlam Chow Mohammad Ghavamzadeh 13 45 0 10 Feb 2018
Balancing Two-Player Stochastic Games with Soft Q-Learning Jordi Grau-Moya Felix Leibfried Haitham Bou-Ammar 24 42 0 09 Feb 2018
Evaluation of Deep Reinforcement Learning Methods for Modular Robots R. Kojcev Nora Etxezarreta Alejandro Hernández Víctor Mayoral OffRL 23 4 0 07 Feb 2018
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control Jingwei Zhang L. Tai Peng Yun Yufeng Xiong Ming Liu Joschka Boedecker Wolfram Burgard 21 121 0 01 Feb 2018
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations Xiaoqin Zhang Huimin Ma OffRL 27 38 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
An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients Jiaming Song Yuhuai Wu 24 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
Expected Policy Gradients for Reinforcement Learning K. Ciosek Shimon Whiteson 50 51 0 10 Jan 2018