Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

4 January 2018

Pieter Abbeel

Papers citing "Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor"

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Title
Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning Yuji Kanagawa Tomoyuki Kaneko 24 13 0 17 Apr 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 46 267 0 16 Apr 2019
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping Mengyuan Yan A. Li Mrinal Kalakrishnan P. Pastor 15 18 0 15 Apr 2019
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 11 64 0 15 Apr 2019
Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL Yannis Flet-Berliac Philippe Preux 22 2 0 08 Apr 2019
Guided Meta-Policy Search Russell Mendonca Abhishek Gupta Rosen Kralev Pieter Abbeel Sergey Levine Chelsea Finn 19 57 0 01 Apr 2019
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies? Q. Vuong Sharad Vikram H. Su Sicun Gao Henrik I. Christensen OOD 16 48 0 28 Mar 2019
Generalized Off-Policy Actor-Critic Shangtong Zhang Wendelin Bohmer Shimon Whiteson OffRL CML 30 43 0 27 Mar 2019
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search Linnan Wang Yiyang Zhao Yuu Jinnai Yuandong Tian Rodrigo Fonseca BDL 25 95 0 26 Mar 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 49 28 0 25 Mar 2019
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning Bharat Prakash Mark Horton Nicholas R. Waytowich W. Hairston Tim Oates T. Mohsenin 11 19 0 25 Mar 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 51 650 0 19 Mar 2019
Truly Proximal Policy Optimization Yuhui Wang Hao He Chao Wen Xiaoyang Tan 26 123 0 19 Mar 2019
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL Dhruva Tirumala Hyeonwoo Noh Alexandre Galashov Leonard Hasenclever Arun Ahuja Greg Wayne Razvan Pascanu Yee Whye Teh N. Heess OffRL 19 45 0 18 Mar 2019
Policy Distillation and Value Matching in Multiagent Reinforcement Learning Samir Wadhwania Dong-Ki Kim Shayegan Omidshafiei Jonathan P. How 14 25 0 15 Mar 2019
Deep Reinforcement Learning with Feedback-based Exploration Jan Scholten Daan Wout C. Celemin Jens Kober 38 4 0 14 Mar 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher Hélène Plisnier D. Roijers A. Nowé OffRL 31 17 0 11 Mar 2019
Sim-to-Real Transfer for Biped Locomotion Wenhao Yu Visak C. V. Kumar Greg Turk Chenxi Liu 17 115 0 04 Mar 2019
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning Xiang Li Wenhao Yang Zhihua Zhang 11 2 0 02 Mar 2019
Catalyst.RL: A Distributed Framework for Reproducible RL Research Sergey Kolesnikov Oleksii Hrinchuk OffRL 25 8 0 28 Feb 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms Justin Fu Aviral Kumar Matthew Soh Sergey Levine OffRL 24 142 0 26 Feb 2019
Distributionally Robust Reinforcement Learning E. Smirnova Elvis Dohmatob Jérémie Mary OffRL 29 59 0 23 Feb 2019
Investigating Generalisation in Continuous Deep Reinforcement Learning Chenyang Zhao Olivier Sigaud F. Stulp Timothy M. Hospedales OffRL 27 48 0 19 Feb 2019
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity Aditya Bhatt Daniel Palenicek Boris Belousov Max Argus Artemij Amiranashvili Thomas Brox Jan Peters 67 46 0 14 Feb 2019
Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning Gang Chen Yiming Peng 24 8 0 14 Feb 2019
Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup Devin Schwab Tobias Springenberg M. Martins Thomas Lampe Michael Neunert A. Abdolmaleki Tim Hertweck Roland Hafner F. Nori Martin Riedmiller 21 22 0 13 Feb 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 20 40 0 07 Feb 2019
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning Kyungjae Lee Sungyub Kim Sungbin Lim Sungjoon Choi Songhwai Oh 52 28 0 31 Jan 2019
A Theory of Regularized Markov Decision Processes Matthieu Geist B. Scherrer Olivier Pietquin 47 316 0 31 Jan 2019
InfoBot: Transfer and Exploration via the Information Bottleneck Anirudh Goyal Riashat Islam Daniel Strouse Zafarali Ahmed M. Botvinick Hugo Larochelle Yoshua Bengio Sergey Levine OffRL 16 166 0 30 Jan 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 26 119 0 29 Jan 2019
Trust Region-Guided Proximal Policy Optimization Yuhui Wang Hao He Xiaoyang Tan Yaozhong Gan OffRL 26 55 0 29 Jan 2019
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks Dongqi Han Kenji Doya Jun Tani AI4CE 27 20 0 29 Jan 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Ying Wen Yaodong Yang Rui Luo Jun Wang LRM 37 52 0 26 Jan 2019
Credit Assignment Techniques in Stochastic Computation Graphs T. Weber N. Heess Lars Buesing David Silver 21 45 0 07 Jan 2019
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization Takayuki Osa Voot Tangkaratt Masashi Sugiyama OffRL 22 27 0 05 Jan 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution Chunyuan Li Ke Bai Jianqiao Li Guoyin Wang Changyou Chen Lawrence Carin 65 10 0 03 Jan 2019
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 54 434 0 26 Dec 2018
TD-Regularized Actor-Critic Methods Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan OffRL 32 31 0 19 Dec 2018
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 83 2,381 0 13 Dec 2018
Residual Reinforcement Learning for Robot Control T. Johannink Shikhar Bahl Ashvin Nair Jianlan Luo Avinash Kumar M. Loskyll J. A. Ojea Eugen Solowjow Sergey Levine OffRL 35 410 0 07 Dec 2018
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 36 295 0 06 Dec 2018
Relative Entropy Regularized Policy Iteration A. Abdolmaleki Jost Tobias Springenberg Jonas Degrave Steven Bohez Yuval Tassa Dan Belov N. Heess Martin Riedmiller 27 72 0 05 Dec 2018
Composing Entropic Policies using Divergence Correction Jonathan J. Hunt André Barreto Timothy Lillicrap N. Heess 24 2 0 05 Dec 2018
Exploration versus exploitation in reinforcement learning: a stochastic control approach Haoran Wang T. Zariphopoulou X. Zhou 6 49 0 04 Dec 2018
Generative Adversarial Self-Imitation Learning Yijie Guo Junhyuk Oh Satinder Singh Honglak Lee GAN 35 58 0 03 Dec 2018
VIREL: A Variational Inference Framework for Reinforcement Learning M. Fellows Anuj Mahajan Tim G. J. Rudner Shimon Whiteson DRL 38 54 0 03 Nov 2018
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform J. Gauci Edoardo Conti Yitao Liang Kittipat Virochsiri Yuchen He Zachary Kaden Vivek Narayanan Xiaohui Ye Zhengxing Chen Scott Fujimoto 30 139 0 01 Nov 2018
Relative Importance Sampling For Off-Policy Actor-Critic in Deep Reinforcement Learning Mahammad Humayoo Xueqi Cheng BDL OffRL 24 5 0 30 Oct 2018
Model-Based Active Exploration Pranav Shyam Wojciech Ja'skowski Faustino J. Gomez 35 179 0 29 Oct 2018