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 / 1,658 papers shown

Title
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly Hao-ming Lin Radu Corcodel Ding Zhao 45 7 0 26 Apr 2024
RUMOR: Reinforcement learning for Understanding a Model of the Real World for Navigation in Dynamic Environments Diego Martínez Baselga L. Riazuelo Luis Montano 92 1 0 25 Apr 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints Bram De Cooman Johan A. K. Suykens 43 0 0 25 Apr 2024
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL Lang Qin Ziming Wang Runhao Jiang Rui Yan Huajin Tang 43 1 0 24 Apr 2024
DPO: A Differential and Pointwise Control Approach to Reinforcement Learning Minh Nguyen Chandrajit Bajaj 27 0 0 24 Apr 2024
MultiSTOP: Solving Functional Equations with Reinforcement Learning Alessandro Trenta Davide Bacciu Andrea Cossu Pietro Ferrero 13 0 0 23 Apr 2024
Rank2Reward: Learning Shaped Reward Functions from Passive Video Daniel Yang Davin Tjia Jacob Berg Dima Damen Pulkit Agrawal Abhishek Gupta OffRL 42 5 0 23 Apr 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 42 6 0 22 Apr 2024
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation Xulin Chen Ruipeng Liu Garret E. Katz 49 0 0 22 Apr 2024
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL Fangwei Zhong Kui Wu Hai Ci Churan Wang Hao Chen OffRL 41 2 0 15 Apr 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 45 0 0 15 Apr 2024
Collaborative Ground-Space Communications via Evolutionary Multi-objective Deep Reinforcement Learning Jiahui Li Geng Sun Qingqing Wu Dusit Niyato Jiawen Kang Abbas Jamalipour Victor C. M. Leung 16 20 0 11 Apr 2024
AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent Tongzhou Mu Yijie Guo Jie Xu Ankit Goyal Hao Su Dieter Fox Animesh Garg LM&Ro 57 0 0 11 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 53 6 0 09 Apr 2024
Computing Transition Pathways for the Study of Rare Events Using Deep Reinforcement Learning Bo Lin Yangzheng Zhong Weiqing Ren 30 0 0 08 Apr 2024
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint Haitong Ma Zhaolin Ren Bo Dai Na Li 45 1 0 07 Apr 2024
Distributionally Robust Policy and Lyapunov-Certificate Learning Kehan Long Jorge Cortés Nikolay Atanasov 49 3 0 03 Apr 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation Carlos Plou Ana C. Murillo Ruben Martinez-Cantin OffRL 45 0 0 02 Apr 2024
Learning to Control Camera Exposure via Reinforcement Learning Kyunghyun Lee Ukcheol Shin Byeong-uk Lee 28 2 0 02 Apr 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration Yibo Wang Jiang Zhao OffRL OnRL 46 0 0 31 Mar 2024
Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards Yasin Sonmez Neelay Junnarkar Murat Arcak 42 1 0 27 Mar 2024
Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learning Xinrui Wang Yan Jin 45 1 0 25 Mar 2024
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm Titouan Renard Andreas Schlaginhaufen Tingting Ni Maryam Kamgarpour 64 1 0 25 Mar 2024
A Twin Delayed Deep Deterministic Policy Gradient Algorithm for Autonomous Ground Vehicle Navigation via Digital Twin Perception Awareness K. Olayemi Mien Van Seán F. McLoone Yuzhu Sun Jack Close Minh-Nhat Nguyen Stephen McIlvanna 60 3 0 22 Mar 2024
Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments Hongrui Zheng Zhijun Zhuang Stephanie Wu Shuo Yang Rahul Mangharam 35 1 0 17 Mar 2024
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games Zixuan Wu Sean Ye Manisha Natarajan Matthew C. Gombolay 83 6 0 16 Mar 2024
ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models Runyu Ma Jelle Luijkx Zlatan Ajanović Jens Kober LM&Ro LRM 45 8 0 14 Mar 2024
Constrained Optimal Fuel Consumption of HEV: A Constrained Reinforcement Learning Approach Shuchang Yan 19 1 0 12 Mar 2024
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence Marcel Hussing C. Voelcker Igor Gilitschenski Amir-massoud Farahmand Eric Eaton 47 3 0 09 Mar 2024
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning Hongjoon Ahn Jinu Hyeon Youngmin Oh Bosun Hwang Taesup Moon CLL OnRL 42 2 0 08 Mar 2024
Learning Speed Adaptation for Flight in Clutter Guangyu Zhao Tianyue Wu Yeke Chen Fei Gao 51 7 0 07 Mar 2024
Koopman-Assisted Reinforcement Learning Preston Rozwood Edward Mehrez Ludger Paehler Wen Sun Steven L. Brunton 45 7 0 04 Mar 2024
Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist Hai Nguyen Tadashi Kozuno C. C. Beltran-Hernandez Masashi Hamaya 54 7 0 28 Feb 2024
Imitation-regularized Optimal Transport on Networks: Provable Robustness and Application to Logistics Planning Koshi Oishi Yota Hashizume Tomohiko Jimbo Hirotaka Kaji Kenji Kashima OOD 48 2 0 28 Feb 2024
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2) Qifeng Li Xiaosong Jia Shaobo Wang Junchi Yan 48 28 0 26 Feb 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji Yongyuan Liang Yan Zeng Yu-Juan Luo Guowei Xu Jiawei Guo Ruijie Zheng Furong Huang Gang Hua Huazhe Xu CML 55 11 0 22 Feb 2024
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay Catherine Weaver Chen Tang Ce Hao Kenta Kawamoto Masayoshi Tomizuka Wei Zhan OffRL 37 0 0 22 Feb 2024
Learning control strategy in soft robotics through a set of configuration spaces Etienne Ménager Christian Duriez 45 0 0 21 Feb 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning Anya Sims Cong Lu Yee Whye Teh OffRL 41 3 0 19 Feb 2024
Multi Task Inverse Reinforcement Learning for Common Sense Reward Neta Glazer Aviv Navon Aviv Shamsian Ethan Fetaya 32 0 0 17 Feb 2024
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics Xinyu Zhang Wenjie Qiu Yi-Chen Li Lei Yuan Chengxing Jia Zongzhang Zhang Yang Yu OffRL 47 1 0 17 Feb 2024
Dataset Clustering for Improved Offline Policy Learning Qiang Wang Yixin Deng Francisco Roldan Sanchez Keru Wang Kevin McGuinness Noel E. O'Connor Stephen J. Redmond OffRL 34 2 0 14 Feb 2024
Hierarchical Transformers are Efficient Meta-Reinforcement Learners Gresa Shala André Biedenkapp Josif Grabocka OffRL 48 4 0 09 Feb 2024
Scaling Artificial Intelligence for Digital Wargaming in Support of Decision-Making Scotty Black Christian J. Darken 19 2 0 08 Feb 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Zackory M. Erickson David Held David Held 39 4 0 08 Feb 2024
Transductive Reward Inference on Graph B. Qu Xiaofeng Cao Qing Guo Yi Chang Ivor W. Tsang Chengqi Zhang OffRL 45 0 0 06 Feb 2024
Accelerating Inverse Reinforcement Learning with Expert Bootstrapping David Wu Sanjiban Choudhury 28 0 0 04 Feb 2024
Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks Mehdi Heydari Shahna Seyed Adel Alizadeh Kolagar Jouni Mattila 29 4 0 04 Feb 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li Hai Zhang Xinyu Zhang Shatong Zhu Junqiao Zhao Junqiao Zhao Pheng-Ann Heng OffRL 54 7 0 04 Feb 2024
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators M. Beliaev Ramtin Pedarsani 46 2 0 02 Feb 2024