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"

50 / 1,748 papers shown

Title
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization E. Derman Yevgeniy Men Matthieu Geist Shie Mannor 50 1 0 12 Mar 2023
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 50 1 0 08 Mar 2023
Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint Taisuke Kobayashi 58 3 0 08 Mar 2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning Nick Bührer Zhejun Zhang Alexander Liniger Feng Yu Luc Van Gool 33 1 0 07 Mar 2023
Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning Pengqin Wang Meixin Zhu Shaojie Shen OffRL 38 1 0 07 Mar 2023
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments Jun Yamada J. Collins Ingmar Posner 55 8 0 06 Mar 2023
Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation Wenyan Yang A. Angleraud R. Pieters Joni Pajarinen Joni-Kristian Kämäräinen 55 6 0 05 Mar 2023
Virtual Guidance as a Mid-level Representation for Navigation with Augmented Reality Hsuan-Kung Yang Tsung-Chih Chiang Tingxin Liu Chun-Wei Huang Jou-Min Liu Tsu-Ching Hsiao Chun-Yi Lee 39 1 0 05 Mar 2023
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control Amarildo Likmeta Matteo Sacco Alberto Maria Metelli Marcello Restelli OffRL 31 3 0 04 Mar 2023
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning Simon Guist Jan Schneider-Barnes Alexander Dittrich V. Berenz Bernhard Schölkopf Le Chen 41 3 0 03 Mar 2023
Guarded Policy Optimization with Imperfect Online Demonstrations Zhenghai Xue Zhenghao Peng Quanyi Li Zhihan Liu Bolei Zhou OffRL 53 10 0 03 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning Archit Sharma Ahmed M. Ahmed Rehaan Ahmad Chelsea Finn SSL 61 17 0 02 Mar 2023
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting Hongyao Tang Hao Fei Jianye Hao 31 1 0 02 Mar 2023
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation Jonas Rothfuss Bhavya Sukhija Tobias Birchler Parnian Kassraie Andreas Krause OffRL 34 10 0 02 Mar 2023
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning Firas Al-Hafez Davide Tateo Oleg Arenz Guoping Zhao Jan Peters 36 22 0 01 Mar 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 35 7 0 01 Mar 2023
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning Carolin Schmidt Daniele Gammelli Francisco Câmara Pereira Filipe Rodrigues OffRL 24 4 0 28 Feb 2023
Human-Inspired Framework to Accelerate Reinforcement Learning Ali Beikmohammadi Sindri Magnússon OffRL 34 4 0 28 Feb 2023
(Re) $^2$ H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning Haoyi Niu Kun Ren Yi Tian Xu Ziyuan Yang Yi-Hsin Lin Yan Zhang Jianming Hu OffRL 26 9 0 27 Feb 2023
High-Precise Robot Arm Manipulation based on Online Iterative Learning and Forward Simulation with Positioning Error Below End-Effector Physical Minimum Displacement Weiming Qu Tianlin Liu D. Luo 31 2 0 26 Feb 2023
Diffusion Model-Augmented Behavioral Cloning Shangcheng Chen Hsiang-Chun Wang Ming-Hao Hsu Chun-Mao Lai Shao-Hua Sun DiffM 70 31 0 26 Feb 2023
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses Hao Zhang Hongzhuo Liang Lin Cong Jianzhi Lyu Long Zeng Pingfa Feng Jian-Wei Zhang SSL DRL 39 9 0 26 Feb 2023
Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation Zhifa Ke Junyu Zhang Zaiwen Wen 29 0 0 25 Feb 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning Ghada Sokar Rishabh Agarwal Pablo Samuel Castro Utku Evci CLL 53 91 0 24 Feb 2023
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation Thanh Nguyen-Tang R. Arora OffRL 58 5 0 24 Feb 2023
Neural Laplace Control for Continuous-time Delayed Systems Samuel Holt Alihan Huyuk Zhaozhi Qian Hao Sun M. Schaar OffRL 49 10 0 24 Feb 2023
Why Target Networks Stabilise Temporal Difference Methods Matt Fellows Matthew Smith Shimon Whiteson OOD AAML 26 7 0 24 Feb 2023
Model-Based Uncertainty in Value Functions Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 43 14 0 24 Feb 2023
A Supervisory Learning Control Framework for Autonomous & Real-time Task Planning for an Underactuated Cooperative Robotic task Sander De Witte Tom Lefebvre Thijs Van Hauwermeiren Guillaume Crevecoeur 26 0 0 22 Feb 2023
Learning Agile Flights through Narrow Gaps with Varying Angles using Onboard Sensing Yuhan Xie Minghao Lu Rui Peng Peng Lu 42 9 0 22 Feb 2023
Reinforcement Learning for Block Decomposition of CAD Models Benjamin C. DiPrete R. Garimella Cristina Garcia-Cardona Navamita Ray 33 1 0 21 Feb 2023
Improving Deep Policy Gradients with Value Function Search Enrico Marchesini Chris Amato 31 9 0 20 Feb 2023
Differentiable Arbitrating in Zero-sum Markov Games Jing Wang Meichen Song Feng Gao Boyi Liu Zhaoran Wang Yi Wu 54 2 0 20 Feb 2023
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot Tao Huang Kai-xiang Chen Bin Li Yunhui Liu Qingxu Dou 40 23 0 20 Feb 2023
Stochastic Generative Flow Networks L. Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio BDL 55 31 0 19 Feb 2023
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer Hannes Eriksson D. Basu Tommy Tram Mina Alibeigi Christos Dimitrakakis 26 1 0 18 Feb 2023
Meta-Reinforcement Learning via Exploratory Task Clustering Zhendong Chu Hongning Wang OffRL 41 5 0 15 Feb 2023
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong OffRL 44 13 0 15 Feb 2023
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs Stefan Werner Sebastian Peitz 58 9 0 14 Feb 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Yunke Wang Bo Du Chang Xu 43 8 0 13 Feb 2023
Improving robot navigation in crowded environments using intrinsic rewards Diego Martínez Baselga L. Riazuelo Luis Montano 45 13 0 13 Feb 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems D. Mguni Hao Chen Taher Jafferjee Jianhong Wang Long Fei Xidong Feng Stephen Marcus McAleer Feifei Tong Jun Wang Yaodong Yang 35 1 0 12 Feb 2023
Distributional GFlowNets with Quantile Flows Dinghuai Zhang L. Pan Ricky T. Q. Chen Aaron Courville Yoshua Bengio 41 25 0 11 Feb 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 75 10 0 11 Feb 2023
Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems Kailash Gogineni Peng Wei Tian-Shing Lan Guru Venkataramani 29 8 0 10 Feb 2023
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning Sheng Yue Guan-Bo Wang Wei Shao Zhaofeng Zhang Sen Lin Junkai Ren Junshan Zhang OffRL 59 20 0 09 Feb 2023
RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols Luca Giacomoni Basil Benny G. Parisis 33 3 0 09 Feb 2023
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving Zhiyu Huang Haochen Liu Jingda Wu Wenhui Huang Chen Lv 41 17 0 08 Feb 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 32 9 0 08 Feb 2023
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning Haoran Li Shasha Liu Mingjun Ma Guangzheng Hu Yaran Chen Dong Zhao 41 3 0 07 Feb 2023