Soft Actor-Critic Algorithms and Applications

13 December 2018

Jie Tan

Vikash Kumar

Henry Zhu

Abhishek Gupta

Pieter Abbeel

Sergey Levine

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Papers citing "Soft Actor-Critic Algorithms and Applications"

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Imagination-Limited Q-Learning for Offline Reinforcement Learning Wenhui Liu Zhijian Wu Jingchao Wang Dingjiang Huang Shuigeng Zhou OffRL 14 0 0 18 May 2025
Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations Wenrui Cai Chengyu Wang Junbing Yan Jun Huang Xiangzhong Fang LRM 19 0 0 16 May 2025
Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM Thang Duong Minglai Yang Chicheng Zhang OffRL 23 0 0 16 May 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 26 0 0 15 May 2025
ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Jing-Cheng Pang Kaiyuan Li Yansen Wang Si-Hang Yang Shengyi Jiang Yang Yu OffRL LLMAG LM&Ro LRM 19 0 0 15 May 2025
Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data Rui Miao Babak Shahbaba Annie Qu OffRL 31 0 0 14 May 2025
Deep reinforcement learning-based longitudinal control strategy for automated vehicles at signalised intersections Pankaj Kumar Aditya Mishra Pranamesh Chakraborty Subrahmanya Swamy Peruru 26 0 0 13 May 2025
Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control Hazim Alzorgan Abolfazl Razi 34 0 0 13 May 2025
Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR Sindre Benjamin Remman A. Lekkas 29 0 0 11 May 2025
Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Cars Eric Squires Phillip Odom Z. Kira 38 0 0 08 May 2025
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation Jing Hu Chengming Feng Shu Hu Ming-Ching Chang Xin Li Xi Wu Xin Wang 52 0 0 07 May 2025
Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach Yue Chen Hui Kang Jiahui Li Geng Sun Boxiong Wang Jiacheng Wang Cong Liang Shuang Liang Dusit Niyato 49 0 0 06 May 2025
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning Shangzhe Li Zhiao Huang Hao Su 71 0 0 04 May 2025
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding Yuhan Li Eugene Han Yifan Hu Wenzhuo Zhou Zhengling Qi Yifan Cui Ruoqing Zhu OffRL 216 0 0 01 May 2025
Fine-Tuning without Performance Degradation Han Wang Adam White Martha White OnRL 238 0 0 01 May 2025
Neurophysiologically Realistic Environment for Comparing Adaptive Deep Brain Stimulation Algorithms in Parkinson Disease Ekaterina Kuzmina Dmitrii Kriukov Mikhail Lebedev Dmitry V. Dylov OOD 31 0 0 26 Apr 2025
Economic Battery Storage Dispatch with Deep Reinforcement Learning from Rule-Based Demonstrations Manuel Sage Martin Staniszewski Yaoyao Fiona Zhao 34 2 0 06 Apr 2025
End-to-End Driving with Online Trajectory Evaluation via BEV World Model Yingyan Li Yuqi Wang Yang Liu Jiawei He Lue Fan Zhaoxiang Zhang OffRL 245 1 0 02 Apr 2025
Handling Delay in Real-Time Reinforcement Learning Ivan Anokhin Rishav Rishav Matthew D Riemer Stephen Chung Irina Rish Samira Ebrahimi Kahou 47 0 0 30 Mar 2025
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning Chan Kim Seung-Woo Seo Seong-Woo Kim OODD 238 0 0 21 Mar 2025
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning Luc McCutcheon Bahman Gharesifard Saber Fallah 53 0 0 19 Mar 2025
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration Amir Baghi Jens Sjölund Joakim Bergdahl Linus Gisslén Alessandro Sestini 58 0 0 17 Mar 2025
Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter Kechun Xu Xunlong Xia Kaixuan Wang Yifei Yang Yunxuan Mao Bing Deng R. Xiong Yansen Wang OffRL 74 0 0 12 Mar 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 84 1 0 20 Feb 2025
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation James R. Han Hugues Thomas Jian Zhang Nicholas Rhinehart T. Barfoot 69 1 0 17 Feb 2025
Towards Bio-inspired Heuristically Accelerated Reinforcement Learning for Adaptive Underwater Multi-Agents Behaviour Antoine Vivien Thomas Chaffre Matthew Stephenson Eva Artusi Paulo E. Santos Benoit Clement Karl Sammut AI4CE 66 0 0 10 Feb 2025
Mirror Descent Actor Critic via Bounded Advantage Learning Ryo Iwaki 93 0 0 06 Feb 2025
Digital Twin-Enabled Real-Time Control in Robotic Additive Manufacturing via Soft Actor-Critic Reinforcement Learning Matsive Ali Sandesh Giri Sen Liu Qin Yang AI4CE 42 0 0 29 Jan 2025
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning Hao Sun M. Schaar 94 14 0 28 Jan 2025
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning Bowen Zheng Ran Cheng Kay Chen Tan 47 0 0 25 Jan 2025
On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration Yirui Zhou Xiaowei Liu Xiaofeng Zhang Yangchun Zhang 39 0 0 22 Jan 2025
Control-ITRA: Controlling the Behavior of a Driving Model Vasileios Lioutas Adam Scibior Matthew Niedoba Berend Zwartsenberg Frank Wood 204 0 0 17 Jan 2025
Learning to Assist Humans without Inferring Rewards Vivek Myers Evan Ellis Sergey Levine Benjamin Eysenbach Anca Dragan 48 3 0 17 Jan 2025
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning Abdullah Akgul Manuel Haußmann M. Kandemir OffRL 76 1 0 17 Jan 2025
Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance Raúl Arranz David Carramiñana Gonzalo de Miguel Juan A. Besada Ana M. Bernardos 31 10 0 15 Jan 2025
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Yi Wan D. Korenkevych Zheqing Zhu OffRL CLL 55 0 0 12 Jan 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy Keru Chen Honghao Wei Zhigang Deng Sen Lin OffRL OnRL 94 0 0 31 Dec 2024
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory Yangchun Zhang Wang Zhou Yirui Zhou 55 0 0 31 Dec 2024
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 89 0 0 16 Dec 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 29 2 0 08 Nov 2024
Approximate Equivariance in Reinforcement Learning Jung Yeon Park Sujay Bhatt Sihan Zeng Lawson L. S. Wong Alec Koppel Sumitra Ganesh Robin Walters 45 1 0 06 Nov 2024
Learning Transparent Reward Models via Unsupervised Feature Selection Daulet Baimukashev G. Alcan K. Luck Ville Kyrki SSL OffRL 41 0 0 24 Oct 2024
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control Jinzhu Luo Dingyang Chen Qi Zhang OffRL 26 0 0 16 Oct 2024
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Ge Li Dong Tian Hongyi Zhou Xinkai Jiang Rudolf Lioutikov Gerhard Neumann OffRL 250 3 0 12 Oct 2024
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control Devdhar Patel H. Siegelmann OffRL 37 0 0 11 Oct 2024
Behavior evolution-inspired approach to walking gait reinforcement training for quadruped robots Yu Wang Wenchuan Jia Yi Sun Dong He 34 0 0 25 Sep 2024
Offline and Distributional Reinforcement Learning for Radio Resource Management Eslam Eldeeb Hirley Alves OffRL 33 2 0 25 Sep 2024
Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance Kin Man Lee Sean Ye Qingyu Xiao Zixuan Wu Z. Zaidi David B. DÁmbrosio Pannag R. Sanketi Matthew Gombolay 80 2 0 23 Sep 2024
Improving Soft-Capture Phase Success in Space Debris Removal Missions: Leveraging Deep Reinforcement Learning and Tactile Feedback Bahador Beigomi Zheng H. Zhu 37 0 0 18 Sep 2024
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning Daniel Flögel Marcos Gómez Villafane Joshua Ransiek Sören Hohmann 34 0 0 16 Sep 2024