Boosting Offline Reinforcement Learning via Data Rebalancing

Boosting Offline Reinforcement Learning via Data Rebalancing

17 October 2022

Gao Huang

Papers citing "Boosting Offline Reinforcement Learning via Data Rebalancing"

18 / 18 papers shown

Title
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset Yiqin Yang Quanwei Wang Chenghao Li Hao Hu Chengjie Wu ... Dianyu Zhong Ziyou Zhang Qianchuan Zhao Chongjie Zhang Xu Bo OffRL 54 0 0 26 Feb 2025
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces Jifeng Hu Sili Huang Li Shen Zhejian Yang Shengchao Hu Shisong Tang H. Chen Yi-Ju Chang Dacheng Tao Lichao Sun OffRL 39 0 0 21 Oct 2024
Exploring Text-to-Motion Generation with Human Preference Jenny Sheng Matthieu Lin Andrew Zhao Kevin Pruvost Yu-Hui Wen Yangguang Li Gao Huang Yong-Jin Liu VGen 42 1 0 15 Apr 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective Yunpeng Qing Shunyu Liu Jingyuan Cong Kaixuan Chen Yihe Zhou Mingli Song OffRL 37 1 0 12 Mar 2024
Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding Haoming Li Yusen Huo Shuai Dou Zhenzhe Zheng Zhilin Zhang Chuan Yu Jian Xu Fan Wu OffRL 29 3 0 23 Feb 2024
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning Yixiang Shan Zhengbang Zhu Ting Long Qifan Liang Yi-Ju Chang Weinan Zhang Liang Yin OffRL 42 1 0 05 Feb 2024
Towards Efficient Exact Optimization of Language Model Alignment Haozhe Ji Cheng Lu Yilin Niu Pei Ke Hongning Wang Jun Zhu Jie Tang Minlie Huang 58 12 0 01 Feb 2024
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning Shenzhi Wang Qisen Yang Jiawei Gao Matthieu Lin Hao Chen Liwei Wu Ning Jia Shiji Song Gao Huang OffRL 35 13 0 27 Oct 2023
Score Regularized Policy Optimization through Diffusion Behavior Huayu Chen Cheng Lu Zhengyi Wang Hang Su Jun Zhu 31 20 0 11 Oct 2023
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL Yang Yue Rui Lu Bingyi Kang Shiji Song Gao Huang OffRL 35 16 0 06 Oct 2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning Jinyi Liu Y. Ma Jianye Hao Yujing Hu Yan Zheng Tangjie Lv Changjie Fan OffRL 44 2 0 27 Jun 2023
Decoupled Prioritized Resampling for Offline RL Yang Yue Bingyi Kang Xiao Ma Qisen Yang Gao Huang S. Song Shuicheng Yan OffRL 27 0 0 08 Jun 2023
Boosting Offline Reinforcement Learning with Action Preference Query Qisen Yang Shenzhi Wang Matthieu Lin S. Song Gao Huang OffRL 13 9 0 06 Jun 2023
Efficient Diffusion Policies for Offline Reinforcement Learning Bingyi Kang Xiao Ma Chao Du Tianyu Pang Shuicheng Yan OffRL 36 62 0 31 May 2023
Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan N. Ragothaman D. Kalathil S. Shakkottai OffRL 32 1 0 04 May 2023
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments Alain Andres Lukas Schafer Esther Villar-Rodriguez Stefano V. Albrecht Javier Del Ser OffRL OnRL 34 2 0 18 Apr 2023
Model-based trajectory stitching for improved behavioural cloning and its applications Charles A. Hepburn Giovanni Montana OffRL 29 5 0 08 Dec 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 843 0 12 Oct 2021