Offline Reinforcement Learning with Fisher Divergence Critic Regularization

14 March 2021

Papers citing "Offline Reinforcement Learning with Fisher Divergence Critic Regularization"

50 / 52 papers shown

Title
Generative Auto-Bidding with Value-Guided Explorations Jingtong Gao Yewen Li Shuai Mao Peng Jiang Nan Jiang ... Fei Pan Peng Jiang Kun Gai Bo An Xiangyu Zhao OffRL 41 0 0 20 Apr 2025
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning Woojun Kim Katia P. Sycara OffRL 89 0 0 30 Jan 2025
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning Zijian Guo Weichao Zhou Wenchao Li OffRL 94 2 0 28 Jan 2025
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning Abdullah Akgul Manuel Haußmann M. Kandemir OffRL 66 1 0 17 Jan 2025
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning Kun Wu Yinuo Zhao Z. Xu Zhengping Che Chengxiang Yin C. Liu Qinru Qiu Feiferi Feng OffRL 100 1 0 22 Dec 2024
Integrating Domain Knowledge for handling Limited Data in Offline RL Briti Gangopadhyay Zhao Wang Jia-Fong Yeh Shingo Takamatsu OffRL 32 0 0 11 Jun 2024
UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning Yu Zhang Rui Yu Zhipeng Yao Wenyuan Zhang Jun Wang Liming Zhang OffRL 45 0 0 05 Jun 2024
Federated Offline Policy Optimization with Dual Regularization Sheng Yue Zerui Qin Xingyuan Hua Yongheng Deng Ju Ren OffRL 29 0 0 24 May 2024
State-Constrained Offline Reinforcement Learning Charles A. Hepburn Yue Jin Giovanni Montana OffRL 31 0 0 23 May 2024
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks Zhifa Ke Zaiwen Wen Junyu Zhang 27 0 0 07 May 2024
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History Yi Xu Weiran Shen Xiao Zhang Jun Xu OffRL 34 0 0 24 Mar 2024
Enhancing Reinforcement Learning Agents with Local Guides Paul Daoudi Bogdan Robu Christophe Prieur Ludovic Dos Santos M. Barlier OnRL 26 3 0 21 Feb 2024
MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces Tianyu Zheng Ge Zhang Xingwei Qu Ming Kuang Stephen W. Huang Zhaofeng He OffRL 45 1 0 20 Feb 2024
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning Mao Hong Zhiyue Zhang Yue Wu Yan Xu OffRL 43 0 0 21 Jan 2024
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning Trevor A. McInroe Adam Jelley Stefano V. Albrecht Amos Storkey OffRL OnRL 18 6 0 09 Oct 2023
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning Fan Luo Tian Xu Xingchen Cao Yang Yu OffRL 22 7 0 09 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 32 0 0 26 Sep 2023
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware Nico Gürtler Sebastian Blaes Pavel Kolev Felix Widmaier Manuel Wüthrich Stefan Bauer Bernhard Schölkopf Georg Martius OffRL 30 28 0 28 Jul 2023
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization Xiangsen Wang Haoran Xu Yinan Zheng Xianyuan Zhan OffRL 28 23 0 21 Jul 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning Zhuoran Li Ling Pan Longbo Huang DiffM OffRL 20 7 0 04 Jul 2023
Chain-of-Thought Predictive Control Zhiwei Jia Vineet Thumuluri Fangchen Liu Ling-Hao Chen Zhiao Huang H. Su LM&Ro 28 20 0 03 Apr 2023
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization Haoran Xu Li Jiang Jianxiong Li Zhuoran Yang Zhaoran Wang Victor Chan Xianyuan Zhan OffRL 36 71 0 28 Mar 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 27 23 0 20 Feb 2023
Swapped goal-conditioned offline reinforcement learning Wenyan Yang Huiling Wang Dingding Cai J. Pajarinen Joni-Kristen Kämäräinen OffRL OnRL 28 1 0 17 Feb 2023
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning Hanlin Zhu Paria Rashidinejad Jiantao Jiao OffRL 30 15 0 30 Jan 2023
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning Guoxi Zhang H. Kashima OffRL 16 2 0 29 Nov 2022
Is Conditional Generative Modeling all you need for Decision-Making? Anurag Ajay Yilun Du Abhi Gupta J. Tenenbaum Tommi Jaakkola Pulkit Agrawal DiffM 34 359 0 28 Nov 2022
Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning Alex Beeson Giovanni Montana OffRL OnRL 13 22 0 21 Nov 2022
Contrastive Value Learning: Implicit Models for Simple Offline RL Bogdan Mazoure Benjamin Eysenbach Ofir Nachum Jonathan Tompson SSL OffRL 25 7 0 03 Nov 2022
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning Yi Zhao Rinu Boney Alexander Ilin Juho Kannala J. Pajarinen OffRL OnRL 16 39 0 25 Oct 2022
Boosting Offline Reinforcement Learning via Data Rebalancing Yang Yue Bingyi Kang Xiao Ma Zhongwen Xu Gao Huang Shuicheng Yan OffRL 18 22 0 17 Oct 2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning Haoran Xu Li Jiang Jianxiong Li Xianyuan Zhan OffRL 26 61 0 15 Oct 2022
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation Xiaoteng Ma Zhipeng Liang Jose H. Blanchet MingWen Liu Li Xia Jiheng Zhang Qianchuan Zhao Zhengyuan Zhou OOD OffRL 28 22 0 14 Sep 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning Homer Walke Jonathan Yang Albert Yu Aviral Kumar Jedrzej Orbik Avi Singh Sergey Levine OffRL OnRL 20 32 0 11 Jul 2022
Offline RL Policies Should be Trained to be Adaptive Dibya Ghosh Anurag Ajay Pulkit Agrawal Sergey Levine OffRL 19 45 0 05 Jul 2022
Bootstrapped Transformer for Offline Reinforcement Learning Kerong Wang Hanye Zhao Xufang Luo Kan Ren Weinan Zhang Dongsheng Li OffRL 11 37 0 17 Jun 2022
Offline Policy Comparison with Confidence: Benchmarks and Baselines Anurag Koul Mariano Phielipp Alan Fern OffRL 15 0 0 22 May 2022
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning Abhishek Gupta Corey Lynch Brandon Kinman Garrett Peake Sergey Levine Karol Hausman OffRL 11 17 0 29 Mar 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Zhuoran Yang Zhihong Deng Animesh Garg Peng Liu Zhaoran Wang OffRL 19 132 0 23 Feb 2022
Supported Policy Optimization for Offline Reinforcement Learning Jialong Wu Haixu Wu Zihan Qiu Jianmin Wang Mingsheng Long OffRL 27 64 0 13 Feb 2022
Offline Reinforcement Learning for Road Traffic Control Mayuresh Kunjir S. Chawla OffRL 22 4 0 07 Jan 2022
Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning Samin Yeasar Arnob Riashat Islam Doina Precup OffRL 14 4 0 31 Dec 2021
Quantile Filtered Imitation Learning David Brandfonbrener William F. Whitney Rajesh Ranganath Joan Bruna 20 6 0 02 Dec 2021
Offline Reinforcement Learning with Soft Behavior Regularization Haoran Xu Xianyuan Zhan Jianxiong Li Honglei Yin OffRL 18 31 0 14 Oct 2021
Offline RL With Resource Constrained Online Deployment Jayanth Reddy Regatti A. Deshmukh Frank Cheng Young Hun Jung Abhishek Gupta Ürün Dogan OffRL 11 2 0 07 Oct 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 19 78 0 16 Sep 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 49 369 0 01 Sep 2021
Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities Frank Nielsen 30 12 0 13 Jul 2021
Offline RL Without Off-Policy Evaluation David Brandfonbrener William F. Whitney Rajesh Ranganath Joan Bruna OffRL 42 161 0 16 Jun 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 15 778 0 12 Jun 2021