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
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning Andrea Zanette Martin J. Wainwright Emma Brunskill OffRL 34 115 0 19 Aug 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 26 59 0 19 Aug 2021
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization Lu Wen Songan Zhang H. E. Tseng Baljeet Singh Dimitar Filev H. Peng OffRL OnRL 27 1 0 19 Aug 2021
Smoother Entropy for Active State Trajectory Estimation and Obfuscation in POMDPs Timothy L. Molloy G. Nair 30 13 0 19 Aug 2021
Implicitly Regularized RL with Implicit Q-Values Nino Vieillard Marcin Andrychowicz Anton Raichuk Olivier Pietquin M. Geist OffRL 24 9 0 16 Aug 2021
Optimal Actor-Critic Policy with Optimized Training Datasets C. Banerjee Zhiyong Chen N. Noman M. Zamani OffRL 38 7 0 16 Aug 2021
Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs Doseok Jang Lucas Spangher Manan Khattar Utkarsha Agwan Selvaprabu Nadarajah C. Spanos OffRL 30 11 0 14 Aug 2021
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback Xiaofei Wang Kimin Lee Kourosh Hakhamaneshi Pieter Abbeel Michael Laskin 34 42 0 11 Aug 2021
Imitation Learning by Reinforcement Learning K. Ciosek 33 18 0 10 Aug 2021
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments S. Srivastava Chengshu Li Michael Lingelbach Roberto Martín-Martín Fei Xia ... Chenxi Liu Silvio Savarese H. Gweon Jiajun Wu Li Fei-Fei LM&Ro 156 159 0 06 Aug 2021
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks Chengshu Li Fei Xia Roberto Martín-Martín Michael Lingelbach S. Srivastava ... Karen Liu H. Gweon Jiajun Wu Li Fei-Fei Silvio Savarese LM&Ro 168 225 0 06 Aug 2021
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning A. Mohtasib Gerhard Neumann Heriberto Cuayáhuitl 28 16 0 06 Aug 2021
Policy Gradients Incorporating the Future David Venuto Elaine Lau Doina Precup Ofir Nachum OffRL 19 9 0 04 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 35 9 0 04 Aug 2021
Risk Conditioned Neural Motion Planning Xin Huang Meng Feng A. Jasour Guy Rosman B. Williams 29 7 0 04 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning Jiechuan Jiang Zongqing Lu OffRL 33 37 0 04 Aug 2021
Variational Actor-Critic Algorithms Yuhua Zhu Lexing Ying OffRL 15 0 0 03 Aug 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control Xin-Yang Liu Jian-Xun Wang AI4CE 36 38 0 31 Jul 2021
Tianshou: a Highly Modularized Deep Reinforcement Learning Library Jiayi Weng Huayu Chen Dong Yan Kaichao You Alexis Duburcq Minghao Zhang Yi Su Hang Su Jun Zhu NoLa OffRL 41 196 0 29 Jul 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 27 27 0 27 Jul 2021
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach Yang Wang Zhen Gao Jun Zhang Xianbin Cao Dezhi Zheng Yue Gao Derrick Wing Kwan Ng M. Di Renzo 44 94 0 23 Jul 2021
Accelerating Quadratic Optimization with Reinforcement Learning Jeffrey Ichnowski Paras Jain Bartolomeo Stellato G. Banjac Michael Luo Francesco Borrelli Joseph E. Gonzalez Ion Stoica Ken Goldberg OffRL 21 36 0 22 Jul 2021
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation Wentao Bao Qi Yu Yu Kong FAtt 32 39 0 21 Jul 2021
Improving exploration in policy gradient search: Application to symbolic optimization Mikel Landajuela Brenden K. Petersen S. K. Kim Claudio Santiago Ruben Glatt T. Nathan Mundhenk Jacob F. Pettit Daniel Faissol 27 16 0 19 Jul 2021
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences Alan Chan Hugo Silva Sungsu Lim Tadashi Kozuno A. R. Mahmood Martha White 25 29 0 17 Jul 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 33 49 0 16 Jul 2021
Conservative Objective Models for Effective Offline Model-Based Optimization Brandon Trabucco Aviral Kumar Xinyang Geng Sergey Levine OffRL 47 86 0 14 Jul 2021
Distributionally Robust Policy Learning via Adversarial Environment Generation Allen Z. Ren Anirudha Majumdar OOD 103 15 0 13 Jul 2021
Conservative Offline Distributional Reinforcement Learning Yecheng Jason Ma Dinesh Jayaraman Osbert Bastani OffRL 73 79 0 12 Jul 2021
CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino Adria Puidomenech Badia Jacob Walker Tim Scholtes Jovana Mitrović Charles Blundell OffRL 37 36 0 12 Jul 2021
Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics Ya-Chien Chang Sicun Gao 23 58 0 11 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 43 15 0 10 Jul 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks Albert Wilcox Ashwin Balakrishna Brijen Thananjeyan Joseph E. Gonzalez Ken Goldberg 34 11 0 10 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 36 112 0 07 Jul 2021
Supervised Off-Policy Ranking Yue Jin Yue Zhang Tao Qin Xudong Zhang Jian Yuan Houqiang Li Tie-Yan Liu OffRL 37 5 0 03 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 44 135 0 01 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 30 141 0 01 Jul 2021
MHER: Model-based Hindsight Experience Replay Rui Yang Meng Fang Lei Han Yali Du Feng Luo Xiu Li OffRL 29 17 0 01 Jul 2021
Applications of the Free Energy Principle to Machine Learning and Neuroscience Beren Millidge DRL 33 7 0 30 Jun 2021
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning Motoya Ohnishi Isao Ishikawa Kendall Lowrey Masahiro Ikeda Sham Kakade Yoshinobu Kawahara 26 5 0 30 Jun 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 41 275 0 29 Jun 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 32 32 0 27 Jun 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 48 6 0 26 Jun 2021
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd D. Murphey 38 71 0 25 Jun 2021
panda-gym: Open-source goal-conditioned environments for robotic learning Quentin Gallouedec Nicolas Cazin Emmanuel Dellandrea Liming Chen OffRL 27 77 0 25 Jun 2021
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation C. Freeman Erik Frey Anton Raichuk Sertan Girgin Igor Mordatch Olivier Bachem 48 359 0 24 Jun 2021
The Option Keyboard: Combining Skills in Reinforcement Learning André Barreto Diana Borsa Shaobo Hou Gheorghe Comanici Eser Aygun ... Daniel Toyama Jonathan J. Hunt Shibl Mourad David Silver Doina Precup 38 98 0 24 Jun 2021
IQ-Learn: Inverse soft-Q Learning for Imitation Divyansh Garg Shuvam Chakraborty Chris Cundy Jiaming Song Matthieu Geist Stefano Ermon 51 178 0 23 Jun 2021
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation Jongmin Lee Wonseok Jeon Byung-Jun Lee J. Pineau Kee-Eung Kim OffRL 37 91 0 21 Jun 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 33 64 0 17 Jun 2021