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
Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving Intelligence Yang Guan Yangang Ren Qi Sun Shengbo Eben Li Haitong Ma Jingliang Duan Yifan Dai B. Cheng 18 66 0 18 Mar 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 29 21 0 17 Mar 2021
Regularized Behavior Value Estimation Çağlar Gülçehre Sergio Gomez Colmenarejo Ziyun Wang Jakub Sygnowski T. Paine Konrad Zolna Yutian Chen Matthew W. Hoffman Razvan Pascanu Nando de Freitas OffRL 31 37 0 17 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 23 17 0 15 Mar 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots T. Taniguchi Hiroshi Yamakawa Takayuki Nagai Kenji Doya M. Sakagami Masahiro Suzuki Tomoaki Nakamura Akira Taniguchi 33 23 0 15 Mar 2021
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems Robin Henry D. Ernst 27 34 0 14 Mar 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games Nicolas Perez Nieves Yaodong Yang Oliver Slumbers D. Mguni Ying Wen Jun Wang 27 67 0 14 Mar 2021
Robust High-speed Running for Quadruped Robots via Deep Reinforcement Learning Guillaume Bellegarda Yiyu Chen Zhuochen Liu Quan Nguyen 39 44 0 11 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 26 107 0 10 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 50 176 0 10 Mar 2021
An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning Dilip Arumugam Peter Henderson Pierre-Luc Bacon 24 17 0 10 Mar 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing Axel Brunnbauer Luigi Berducci Andreas Brandstätter Mathias Lechner Ramin Hasani Daniela Rus Radu Grosu LM&Ro 40 38 0 08 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 46 195 0 08 Mar 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments F. Memarian Wonjoon Goo Rudolf Lioutikov S. Niekum Ufuk Topcu OffRL 39 48 0 08 Mar 2021
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Steven Wu 22 73 0 04 Mar 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings Lili Chen Kimin Lee A. Srinivas Pieter Abbeel OffRL 24 11 0 04 Mar 2021
Inverse Reinforcement Learning with Explicit Policy Estimates Navyata Sanghvi Shinnosuke Usami Mohit Sharma J. Groeger Kris Kitani CML 31 6 0 04 Mar 2021
Offline Reinforcement Learning with Pseudometric Learning Robert Dadashi Shideh Rezaeifar Nino Vieillard Léonard Hussenot Olivier Pietquin M. Geist OffRL 39 40 0 02 Mar 2021
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph Xin Ye Yezhou Yang 32 23 0 01 Mar 2021
Continuous control of an underground loader using deep reinforcement learning Sofi Backman Daniel M. Lindmark K. Bodin Martin Servin Joakim Mörk Håkan Löfgren 46 33 0 01 Mar 2021
Off-Policy Imitation Learning from Observations Zhuangdi Zhu Kaixiang Lin Bo Dai Jiayu Zhou OffRL 29 86 0 25 Feb 2021
Task-Agnostic Morphology Evolution D. Hejna Pieter Abbeel Lerrel Pinto 35 26 0 25 Feb 2021
$Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt{T}$ Regret$ Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt{T}$ Regret Asaf B. Cassel Tomer Koren OffRL 36 17 0 25 Feb 2021
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality Tengyu Xu Zhuoran Yang Zhaoran Wang Yingbin Liang OffRL 49 24 0 23 Feb 2021
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning Xianyuan Zhan Haoran Xu Yueying Zhang Xiangyu Zhu Honglei Yin Yu Zheng OffRL AI4CE 45 68 0 23 Feb 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments Yichen Yang J. Inala Osbert Bastani Yewen Pu Armando Solar-Lezama Martin Rinard 42 12 0 22 Feb 2021
Reinforcement Learning of the Prediction Horizon in Model Predictive Control Eivind Bøhn S. Gros Signe Moe T. Johansen 28 32 0 22 Feb 2021
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization Jyun-Li Lin Wei-Ting Hung Shangtong Yang Ping-Chun Hsieh Xi Liu 40 14 0 22 Feb 2021
Return-Based Contrastive Representation Learning for Reinforcement Learning Guoqing Liu Chuheng Zhang Li Zhao Tao Qin Jinhua Zhu Jian Li Nenghai Yu Tie-Yan Liu SSL OffRL 21 47 0 22 Feb 2021
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition Wenhao Li Xiangfeng Wang Bo Jin Junjie Sheng H. Zha 36 7 0 21 Feb 2021
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels Yongqian Xiao Xin Xu Yifei Shi 22 9 0 19 Feb 2021
Model-Invariant State Abstractions for Model-Based Reinforcement Learning Manan Tomar Amy Zhang Roberto Calandra Matthew E. Taylor Joelle Pineau 27 24 0 19 Feb 2021
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning Baiyu Peng Yao Mu Jingliang Duan Yang Guan Shengbo Eben Li Jianyu Chen 55 19 0 17 Feb 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 225 419 0 16 Feb 2021
Training Larger Networks for Deep Reinforcement Learning Keita Ota Devesh K. Jha Asako Kanezaki OffRL 37 39 0 16 Feb 2021
Online Apprenticeship Learning Lior Shani Tom Zahavy Shie Mannor OffRL 31 25 0 13 Feb 2021
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning Karl Kurzer Philip Schorner Alexander Albers Hauke Thomsen Karam Daaboul Johann Marius Zöllner 25 10 0 12 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 37 182 0 11 Feb 2021
Reverb: A Framework For Experience Replay Albin Cassirer Gabriel Barth-Maron E. Brevdo Sabela Ramos Toby Boyd Thibault Sottiaux M. Kroiss VLM OffRL 32 38 0 09 Feb 2021
Tactical Optimism and Pessimism for Deep Reinforcement Learning Theodore H. Moskovitz Jack Parker-Holder Aldo Pacchiano Michael Arbel Michael I. Jordan 27 55 0 07 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 20 520 0 04 Feb 2021
Proactive and AoI-aware Failure Recovery for Stateful NFV-enabled Zero-Touch 6G Networks: Model-Free DRL Approach Amirhossein Shaghaghi Abolfazl Zakeri Nader Mokari M. Javan M. Behdadfar Eduard Axel Jorswieck 14 20 0 02 Feb 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rongjun Qin Songyi Gao Xingyuan Zhang Zhen Xu Shengkai Huang Zewen Li Weinan Zhang Yang Yu OffRL 140 80 0 01 Feb 2021
Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm Ambedkar Dukkipati Rajarshi Banerjee Ranga Shaarad Ayyagari Dhaval Parmar Udaybhai 29 6 0 30 Jan 2021
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning Juhyoung Lee Sangyeob Kim Sangjin Kim Wooyoung Jo H. Yoo OffRL 29 9 0 24 Jan 2021
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning William F. Whitney Michael Bloesch Jost Tobias Springenberg A. Abdolmaleki Kyunghyun Cho Martin Riedmiller OffRL 29 13 0 23 Jan 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments Timothée Anne Jack Wilkinson Zhibin Li 31 1 0 19 Jan 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 135 82 0 16 Jan 2021
Video Summarization Using Deep Neural Networks: A Survey Evlampios Apostolidis E. Adamantidou Alexandros I. Metsai Vasileios Mezaris Ioannis Patras AI4TS 72 203 0 15 Jan 2021
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning Rishabh Agarwal Marlos C. Machado Pablo Samuel Castro Marc G. Bellemare OffRL 55 164 0 13 Jan 2021