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
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework Amber Srivastava S. Salapaka 22 11 0 17 Jun 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets Ashvin Nair Abhishek Gupta Murtaza Dalal Sergey Levine OffRL OnRL 46 592 0 16 Jun 2020
Model Embedding Model-Based Reinforcement Learning Xiao Tan Chao Qu Junwu Xiong James Y. Zhang OffRL 24 0 0 16 Jun 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 38 82 0 15 Jun 2020
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration Zhenghao Peng Hao Sun Bolei Zhou 18 18 0 14 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning Yunhao Tang SSL 33 24 0 12 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine OOD OffRL 32 41 0 12 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... M. Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 31 214 0 10 Jun 2020
Variational Model-based Policy Optimization Yinlam Chow Brandon Cui Moonkyung Ryu Mohammad Ghavamzadeh OffRL 25 12 0 09 Jun 2020
Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors Chi Zhang S. Kuppannagari Viktor Prasanna 22 4 0 08 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 26 124 0 08 Jun 2020
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars Ran Emuna A. Borowsky Armin Biess 42 22 0 07 Jun 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning Shuncheng He Jianzhun Shao Xiangyang Ji 26 7 0 07 Jun 2020
State Action Separable Reinforcement Learning Ziyao Zhang Liang Ma K. Leung Konstantinos Poularakis Mudhakar Srivatsa 31 2 0 05 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 65 225 0 01 Jun 2020
Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera Damian Bogunowicz A. Rybnikov Komal Vendidandi Fedor Chervinskii 25 7 0 29 May 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 33 10 0 25 May 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 29 1 0 21 May 2020
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning Michelle A. Lee Carlos Florensa Jonathan Tremblay Nathan D. Ratliff Animesh Garg Fabio Ramos Dieter Fox 23 60 0 21 May 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 24 13 0 21 May 2020
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks Haotian Liu Wenchuan Wu OffRL 19 95 0 20 May 2020
Mirror Descent Policy Optimization Manan Tomar Lior Shani Yonathan Efroni Mohammad Ghavamzadeh 25 83 0 20 May 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 44 87 0 16 May 2020
A Distributional View on Multi-Objective Policy Optimization A. Abdolmaleki Sandy H. Huang Leonard Hasenclever Michael Neunert H. F. Song Martina Zambelli M. Martins N. Heess R. Hadsell Martin Riedmiller 26 74 0 15 May 2020
On the Global Convergence Rates of Softmax Policy Gradient Methods Jincheng Mei Chenjun Xiao Csaba Szepesvári Dale Schuurmans 47 276 0 13 May 2020
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 32 57 0 12 May 2020
Delay-Aware Model-Based Reinforcement Learning for Continuous Control Baiming Chen Mengdi Xu Liang-Sheng Li Ding Zhao OffRL 42 63 0 11 May 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang Amy Zhang Ari S. Morcos Joelle Pineau Pieter Abbeel Roberto Calandra SSL OffRL 28 27 0 07 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 20 648 0 30 Apr 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations Jun Zhang Yao-Kun Lei Zhen Zhang Junhan Chang Maodong Li Xu Han Lijiang Yang Yue Yang Y. Gao AI4CE 42 8 0 25 Apr 2020
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 45 54 0 24 Apr 2020
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning Shangtong Zhang Bo Liu Shimon Whiteson 29 38 0 22 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 31 35 0 17 Apr 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 135 1,318 0 15 Apr 2020
Reinforcement Learning Approach to Vibration Compensation for Dynamic Feed Drive Systems Ralf Gulde Marc Tuscher A. Csiszar O. Riedel A. Verl AI4CE 11 1 0 14 Apr 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 23 41 0 11 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 106 1,939 0 11 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 24 26 0 06 Apr 2020
Action Space Shaping in Deep Reinforcement Learning Anssi Kanervisto Christian Scheller Ville Hautamaki 32 80 0 02 Apr 2020
On the Feedback Law in Stochastic Optimal Nonlinear Control M. Mohamed S. Chakravorty R. Goyal Ran A. Wang 14 5 0 01 Apr 2020
Leverage the Average: an Analysis of KL Regularization in RL Nino Vieillard Tadashi Kozuno B. Scherrer Olivier Pietquin Rémi Munos M. Geist 27 43 0 31 Mar 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation Sukmin Yun Jongjin Park Kimin Lee Jinwoo Shin 29 276 0 31 Mar 2020
Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties Qingrui Zhang Wei Pan V. Reppa 14 21 0 30 Mar 2020
Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 27 177 0 30 Mar 2020
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics Aditya Ganapathi Priya Sundaresan Brijen Thananjeyan Ashwin Balakrishna Daniel Seita ... Joseph E. Gonzalez Nawid Jamali K. Yamane Soshi Iba Ken Goldberg 19 27 0 28 Mar 2020
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks) Piyush B. Gupta Demetris Coleman J. Siegel AAML 29 16 0 24 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 44 37 0 19 Mar 2020
SAPIEN: A SimulAted Part-based Interactive ENvironment Fanbo Xiang Yuzhe Qin Kaichun Mo Yikuan Xia Hao Zhu ... He Wang Li Yi Angel X. Chang Leonidas J. Guibas Hao Su 223 488 0 19 Mar 2020
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Zhuoyuan Wang Tingyu Lin Cheng Wu SSL 28 18 0 16 Mar 2020
Active Perception and Representation for Robotic Manipulation Youssef Y. Zaky Gaurav Paruthi B. Tripp James Bergstra 28 16 0 15 Mar 2020