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
Adaptive Motion Planning for Multi-fingered Functional Grasp via Force Feedback Dongying Tian Xiangbo Lin Yi Sun 49 3 0 22 Jan 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms Pengyi Li Jianye Hao Hongyao Tang Xian Fu Yan Zheng Ke Tang 59 9 0 22 Jan 2024
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations Zuojin Tang Xiaoyu Chen YongQiang Li Jianyu Chen 49 2 0 22 Jan 2024
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning Ge Li Hongyi Zhou Dominik Roth Serge Thilges Fabian Otto Rudolf Lioutikov Gerhard Neumann OffRL 38 7 0 21 Jan 2024
Visual Imitation Learning with Calibrated Contrastive Representation Yunke Wang Linwei Tao Bo Du Yutian Lin Chang Xu 33 0 0 21 Jan 2024
Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive Performance in Fin Ray Control Xin-Yang Liu Dariush Bodaghi Q. Xue Xudong Zheng Jian-Xun Wang 66 0 0 21 Jan 2024
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents Siyuan Qi Shuo Chen Yexin Li Xiangyu Kong Junqi Wang ... Zhaowei Zhang Nian Liu Wei Wang Yaodong Yang Song-Chun Zhu AI4CE LRM 56 20 0 19 Jan 2024
FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction Alexander Telepov Artem Tsypin Kuzma Khrabrov Sergey Yakukhnov Pavel Strashnov ... Egor Rumiantsev Daniel Ezhov Manvel Avetisian Olga Popova Artur Kadurin 36 4 0 18 Jan 2024
Exploration and Anti-Exploration with Distributional Random Network Distillation Kai Yang Jian Tao Jiafei Lyu Xiu Li 45 15 0 18 Jan 2024
Deployable Reinforcement Learning with Variable Control Rate Dong Wang Giovanni Beltrame 47 4 0 17 Jan 2024
Autonomous Catheterization with Open-source Simulator and Expert Trajectory Tudor Jianu Baoru Huang Tuan V. Vo M. Vu Jingxuan Kang Hoan Nguyen O. Omisore Pierre Berthet-Rayne S. Fichera Anh Nguyen 47 7 0 17 Jan 2024
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback Teng Xiao Suhang Wang OffRL 48 8 0 17 Jan 2024
Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning Fatemeh Lotfi Fatemeh Afghah AI4TS 39 7 0 12 Jan 2024
Identifying Policy Gradient Subspaces Jan Schneider-Barnes Pierre Schumacher Simon Guist Tianyu Cui Daniel Haeufle Bernhard Scholkopf Le Chen 49 6 0 12 Jan 2024
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem Niklas Strauß Matthias Schubert 38 0 0 11 Jan 2024
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization Yuanzhao Zhai Yiying Li Zijian Gao Xudong Gong Kele Xu Dawei Feng Bo Ding Huaimin Wang OffRL 51 2 0 11 Jan 2024
An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control Antonio Manjavacas Alejandro Campoy-Nieves Javier Jiménez Raboso Miguel Molina-Solana Juan Gómez-Romero AI4CE 39 9 0 11 Jan 2024
ReACT: Reinforcement Learning for Controller Parametrization using B-Spline Geometries Thomas Rudolf Daniel Flögel Tobias Schürmann Simon Süß S. Schwab Sören Hohmann AI4CE 49 1 0 10 Jan 2024
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning Zhaohui Jiang Paul Weng OffRL 42 0 0 10 Jan 2024
Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections Daniel Attard Josef Bajada 27 2 0 10 Jan 2024
Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning Ding Chen Peixi Peng Tiejun Huang Yonghong Tian 46 6 0 09 Jan 2024
A Minimaximalist Approach to Reinforcement Learning from Human Feedback Gokul Swamy Christoph Dann Rahul Kidambi Zhiwei Steven Wu Alekh Agarwal OffRL 59 100 0 08 Jan 2024
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning Rafael Rafailov Kyle Hatch Victor Kolev John D. Martin Mariano Phielipp Chelsea Finn OffRL OnRL 57 10 0 06 Jan 2024
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process Zhenan Fan Bissan Ghaddar Xinglu Wang Linzi Xing Yong Zhang Zirui Zhou AI4CE 66 11 0 06 Jan 2024
Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimization Min-Kook Suh Seung-Woo Seo ODL 41 0 0 06 Jan 2024
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving Zilin Huang Zihao Sheng Chengyuan Ma Sikai Chen 29 30 0 06 Jan 2024
Deep Reinforcement Learning for Local Path Following of an Autonomous Formula SAE Vehicle Harvey Merton Thomas Delamore Karl Stol Henry Williams 38 0 0 05 Jan 2024
XUAT-Copilot: Multi-Agent Collaborative System for Automated User Acceptance Testing with Large Language Model Zhitao Wang Wei Wang Zirao Li Long Wang Can Yi Xinjie Xu Luyang Cao Hanjing Su Shouzhi Chen Jun Zhou ALM LLMAG 37 8 0 05 Jan 2024
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems Eduardo Sebastián T. Duong Nikolay Atanasov Eduardo Montijano C. Sagüés 60 3 0 30 Dec 2023
Exploring Deep Reinforcement Learning for Robust Target Tracking using Micro Aerial Vehicles Alberto Dionigi Mirko Leomanni Alessandro Saviolo Giuseppe Loianno G. Costante 48 2 0 29 Dec 2023
Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e Chenwei Xu Jerry Yao-Chieh Hu A. Narayanan M. Thieme V. Nagaslaev ... Rui Shi S. Memik A. Shuping Kyle Hazelwood Han Liu 32 2 0 28 Dec 2023
Gradient-based Planning with World Models V. JyothirS Siddhartha Jalagam Yann LeCun Vlad Sobal 48 4 0 28 Dec 2023
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? Gunshi Gupta Tim G. J. Rudner R. McAllister Adrien Gaidon Y. Gal OffRL 64 3 0 28 Dec 2023
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 46 3 0 27 Dec 2023
Efficient Reinforcement Learning via Decoupling Exploration and Utilization Jingpu Yang Helin Wang Qirui Zhao Zhecheng Shi Zirui Song Miao Fang 31 0 0 26 Dec 2023
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations Renzhe Zhou Chenxiao Gao Zongzhang Zhang Yang Yu OffRL 52 11 0 26 Dec 2023
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library Wenzhang Liu Wenzhe Cai Kun Jiang Guangran Cheng Yuanda Wang Changyin Sun Jingyu Cao Lele Xu Chaoxu Mu Changyin Sun 39 4 0 25 Dec 2023
BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge Lin Sun Weijun Wang Tingting Yuan Liang Mi Haipeng Dai Yunxin Liu Xiaoming Fu 31 4 0 25 Dec 2023
Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Reward Fangyuan Wang Anqing Duan Peng Zhou Shengzeng Huo Guodong Guo Chenguang Yang D. Navarro-Alarcon OffRL VLM 48 0 0 25 Dec 2023
Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation Paul Daoudi Mathias Formoso Othman Gaizi Achraf Azize Evrard Garcelon OffRL 35 0 0 24 Dec 2023
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning Bram Grooten Tristan Tomilin Gautham Vasan Matthew E. Taylor A. R. Mahmood Meng Fang Mykola Pechenizkiy Decebal Constantin Mocanu 47 8 0 23 Dec 2023
Human-Centric Resource Allocation for the Metaverse With Multiaccess Edge Computing Zijian Long Haiwei Dong Abdulmotaleb El Saddik 20 18 0 23 Dec 2023
Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism Seyed soroush Karimi madahi Bert Claessens Chris Develder 42 3 0 23 Dec 2023
An investigation of belief-free DRL and MCTS for inspection and maintenance planning Daniel Koutas E. Bismut Daniel Straub 26 2 0 22 Dec 2023
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing Jinmin He Kai Li Yifan Zang Haobo Fu Qiang Fu Junliang Xing Jian Cheng MoE 41 5 0 22 Dec 2023
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles Ruoqi Wen Jiahao Huang Rongpeng Li Guoru Ding Zhifeng Zhao 42 1 0 21 Dec 2023
Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator Zichun Xu Yuntao Li Xiaohang Yang Zhiyuan Zhao Zhuang Lei Jingdong Zhao 54 2 0 21 Dec 2023
Safe Multi-Agent Reinforcement Learning for Formation Control without Individual Reference Targets Murad Dawood Sicong Pan Nils Dengler Siqi Zhou Angela P. Schoellig Maren Bennewitz OffRL 61 3 0 20 Dec 2023
Model-Based Control with Sparse Neural Dynamics Ziang Liu Genggeng Zhou Jeff He Tobia Marcucci Fei-Fei Li Jiajun Wu Yunzhu Li AI4CE 48 17 0 20 Dec 2023
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments Jinyi Liu Zhi Wang Yan Zheng Jianye Hao Chenjia Bai Junjie Ye Zhen Wang Haiyin Piao Yang Sun 61 6 0 19 Dec 2023