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
Softmax Deep Double Deterministic Policy Gradients Ling Pan Qingpeng Cai Longbo Huang 72 86 0 19 Oct 2020
Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning Claudia Pérez-DÁrpino Can Liu P. Goebel Roberto Martín-Martín Silvio Savarese 39 65 0 16 Oct 2020
Learning Dexterous Manipulation from Suboptimal Experts Rae Jeong Jost Tobias Springenberg Jackie Kay Daniel Zheng Yuxiang Zhou Alexandre Galashov N. Heess F. Nori OffRL 18 36 0 16 Oct 2020
Masked Contrastive Representation Learning for Reinforcement Learning Jinhua Zhu Yingce Xia Lijun Wu Jiajun Deng Wen-gang Zhou Tao Qin Houqiang Li SSL OffRL 34 55 0 15 Oct 2020
Human-centric Dialog Training via Offline Reinforcement Learning Natasha Jaques J. Shen Asma Ghandeharioun Craig Ferguson Àgata Lapedriza Noah J. Jones S. Gu Rosalind W. Picard OffRL 40 93 0 12 Oct 2020
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models Cédric Colas B. Hejblum S. Rouillon R. Thiébaut Pierre-Yves Oudeyer Clément Moulin-Frier M. Prague 24 22 0 09 Oct 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 42 120 0 08 Oct 2020
Learning Intrinsic Symbolic Rewards in Reinforcement Learning Hassam Sheikh Shauharda Khadka Santiago Miret Somdeb Majumdar OffRL 29 7 0 08 Oct 2020
Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Counterdiabatic Driving Jiahao Yao Lin Lin Marin Bukov BDL AI4CE 40 61 0 07 Oct 2020
Reinforcement Learning with Random Delays Simon Ramstedt Yann Bouteiller Giovanni Beltrame C. Pal Jonathan Binas 135 59 0 06 Oct 2020
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning Honghao Wei Lei Ying 25 7 0 04 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization Lanqing Li Rui Yang Dijun Luo OffRL 33 10 0 02 Oct 2020
Learning to swim in potential flow Yusheng Jiao Feng Ling Sina Heydari N. Heess J. Merel Eva Kanso 13 40 0 30 Sep 2020
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning Haotian Fu Hongyao Tang Jianye Hao Chong Chen Xidong Feng Dong Li Wulong Liu OffRL 37 51 0 29 Sep 2020
A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn Anjukan Kathirgamanathan Kacper Twardowski E. Mangina D. Finn 8 21 0 22 Sep 2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning Junjie Wang Qichao Zhang Dongbin Zhao Mengchen Zhao Jianye Hao OffRL 32 5 0 21 Sep 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control Qingrui Zhang Hao Dong Wei Pan 29 6 0 20 Sep 2020
Deep Reinforcement Learning for Closed-Loop Blood Glucose Control Ian Fox Joyce M. Lee R. Pop-Busui Jenna Wiens BDL OffRL 30 50 0 18 Sep 2020
GRAC: Self-Guided and Self-Regularized Actor-Critic Lin Shao Yifan You Mengyuan Yan Qingyun Sun Jeannette Bohg 29 23 0 18 Sep 2020
Elastica: A compliant mechanics environment for soft robotic control Noel M. Naughton Jiarui Sun Arman Tekinalp Girish Chowdhary M. Gazzola 14 86 0 17 Sep 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Yue Liu Kim Ji Eun Ding Zhao AAML 16 100 0 16 Sep 2020
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning Daochen Zha Kwei-Herng Lai Mingyang Wan X. Hu 27 52 0 16 Sep 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 288 341 0 14 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 58 610 0 10 Sep 2020
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning Sheng-Chun Kao Geonhwa Jeong T. Krishna 28 95 0 04 Sep 2020
Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning Nathan Lambert Craig B. Schindler Daniel S. Drew K. Pister 22 6 0 02 Sep 2020
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Yanchao Sun Da Huo Furong Huang AAML OffRL OnRL 37 49 0 02 Sep 2020
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning Taisuke Kobayashi OffRL 18 7 0 23 Aug 2020
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning Florian Fuchs Yunlong Song Elia Kaufmann Davide Scaramuzza Peter Dürr 26 124 0 18 Aug 2020
Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter Jonathon S. Hare Adam Prugel-Bennett CoGe DRL 39 20 0 18 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 38 104 0 13 Aug 2020
TriFinger: An Open-Source Robot for Learning Dexterity Manuel Wüthrich Felix Widmaier F. Grimminger J. Akpo S. Joshi ... Julian Viereck M. Naveau Ludovic Righetti Bernhard Schölkopf Stefan Bauer 29 72 0 08 Aug 2020
SafePILCO: a software tool for safe and data-efficient policy synthesis Kyriakos Polymenakos Nikitas Rontsis Alessandro Abate Stephen J. Roberts 32 6 0 07 Aug 2020
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy Zuyue Fu Zhuoran Yang Zhaoran Wang 26 42 0 02 Aug 2020
Towards Deep Robot Learning with Optimizer applicable to Non-stationary Problems Taisuke Kobayashi ODL 20 9 0 31 Jul 2020
Queueing Network Controls via Deep Reinforcement Learning J. Dai Mark O. Gluzman OffRL 32 50 0 31 Jul 2020
Understanding the Stability of Deep Control Policies for Biped Locomotion Hwangpil Park R. Yu Yoonsang Lee Kyungho Lee Jehee Lee 22 9 0 30 Jul 2020
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection Tianming Wang Wenjie Lu H. Yu Dikai Liu 43 1 0 29 Jul 2020
Learning Object-conditioned Exploration using Distributed Soft Actor Critic Ayzaan Wahid Austin Stone Kevin Chen Brian Ichter Alexander Toshev 27 22 0 29 Jul 2020
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies Shengpu Tang Aditya Modi Michael Sjoding Jenna Wiens OffRL 22 25 0 24 Jul 2020
Maximum Mutation Reinforcement Learning for Scalable Control Karush Suri Xiaolong Shi Konstantinos N. Plataniotis Y. Lawryshyn 25 4 0 24 Jul 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 35 175 0 24 Jul 2020
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search Yuan Tian Qin Wang Zhiwu Huang Wen Li Dengxin Dai Minghao Yang Jun Wang Olga Fink OffRL 24 60 0 17 Jul 2020
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity Kai Zhang Sham Kakade Tamer Bacsar Lin F. Yang 52 120 0 15 Jul 2020
Efficient Empowerment Estimation for Unsupervised Stabilization Ruihan Zhao Kevin Lu Pieter Abbeel Stas Tiomkin 32 8 0 14 Jul 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning Shauharda Khadka Estelle Aflalo Mattias Marder Avrech Ben-David Santiago Miret Shie Mannor Tamir Hazan Hanlin Tang Somdeb Majumdar GNN 32 11 0 14 Jul 2020
Control as Hybrid Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley 21 9 0 11 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 25 199 0 09 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate Mirco Mutti Lorenzo Pratissoli Marcello Restelli 11 19 0 09 Jul 2020
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams A. Deka Katia Sycara AAML 31 32 0 06 Jul 2020