Information-Directed Offline-to-Online Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Author: | Chen, Keru |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Fast Safe Online Reinforcement Learning via Policy Finetuning
by: Chen, Keru, et al.
Published: (2024)
by: Chen, Keru, et al.
Published: (2024)
Online Pre-Training for Offline-to-Online Reinforcement Learning
by: Shin, Yongjae, et al.
Published: (2025)
by: Shin, Yongjae, et al.
Published: (2025)
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
by: Liu, Xu-Hui, et al.
Published: (2024)
by: Liu, Xu-Hui, et al.
Published: (2024)
Active Advantage-Aligned Online Reinforcement Learning with Offline Data
by: Liu, Xuefeng, et al.
Published: (2025)
by: Liu, Xuefeng, et al.
Published: (2025)
Bayesian Design Principles for Offline-to-Online Reinforcement Learning
by: Hu, Hao, et al.
Published: (2024)
by: Hu, Hao, et al.
Published: (2024)
Online Optimization for Offline Safe Reinforcement Learning
by: Chemingui, Yassine, et al.
Published: (2025)
by: Chemingui, Yassine, et al.
Published: (2025)
The Three Regimes of Offline-to-Online Reinforcement Learning
by: Li, Lu, et al.
Published: (2025)
by: Li, Lu, et al.
Published: (2025)
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
by: Wang, Qi, et al.
Published: (2023)
by: Wang, Qi, et al.
Published: (2023)
Direction-Aware Offline-to-Online Learning in Linear Contextual Bandits
by: Han, Zean, et al.
Published: (2026)
by: Han, Zean, et al.
Published: (2026)
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness
by: Wen, Xiaoyu, et al.
Published: (2023)
by: Wen, Xiaoyu, et al.
Published: (2023)
Federated Ensemble-Directed Offline Reinforcement Learning
by: Rengarajan, Desik, et al.
Published: (2023)
by: Rengarajan, Desik, et al.
Published: (2023)
Adaptive Q-Chunking for Offline-to-Online Reinforcement Learning
by: Gireesh, Nandiraju, et al.
Published: (2026)
by: Gireesh, Nandiraju, et al.
Published: (2026)
RLSynC: Offline-Online Reinforcement Learning for Synthon Completion
by: Baker, Frazier N., et al.
Published: (2023)
by: Baker, Frazier N., et al.
Published: (2023)
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning
by: McInroe, Trevor, et al.
Published: (2023)
by: McInroe, Trevor, et al.
Published: (2023)
MOORL: A Framework for Integrating Offline-Online Reinforcement Learning
by: Chaudhary, Gaurav, et al.
Published: (2025)
by: Chaudhary, Gaurav, et al.
Published: (2025)
Dataset Clustering for Improved Offline Policy Learning
by: Wang, Qiang, et al.
Published: (2024)
by: Wang, Qiang, et al.
Published: (2024)
Offline-Online Reinforcement Learning for Linear Mixture MDPs
by: Zhang, Zhongjun, et al.
Published: (2026)
by: Zhang, Zhongjun, et al.
Published: (2026)
Discrete Flow Matching for Offline-to-Online Reinforcement Learning
by: Khan, Fairoz Nower, et al.
Published: (2026)
by: Khan, Fairoz Nower, et al.
Published: (2026)
Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning
by: Song, Chihyeon, et al.
Published: (2025)
by: Song, Chihyeon, et al.
Published: (2025)
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
by: Nakhaei, Mohammadreza, et al.
Published: (2024)
by: Nakhaei, Mohammadreza, et al.
Published: (2024)
Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data
by: Deng, Shilong, et al.
Published: (2025)
by: Deng, Shilong, et al.
Published: (2025)
Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning
by: Bui, Ha Manh, et al.
Published: (2026)
by: Bui, Ha Manh, et al.
Published: (2026)
A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement Learning
by: Kim, JaeYoon, et al.
Published: (2024)
by: Kim, JaeYoon, et al.
Published: (2024)
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning
by: Lin, Haoxin, et al.
Published: (2024)
by: Lin, Haoxin, et al.
Published: (2024)
Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning
by: Shin, Yongjae, et al.
Published: (2026)
by: Shin, Yongjae, et al.
Published: (2026)
Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
by: Huang, Xiao, et al.
Published: (2025)
by: Huang, Xiao, et al.
Published: (2025)
Horizon Reduction as Information Loss in Offline Reinforcement Learning
by: Nidadala, Uday Kumar, et al.
Published: (2025)
by: Nidadala, Uday Kumar, et al.
Published: (2025)
SAMG: Offline-to-Online Reinforcement Learning via State-Action-Conditional Offline Model Guidance
by: Zhang, Liyu, et al.
Published: (2024)
by: Zhang, Liyu, et al.
Published: (2024)
Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design
by: Vogt, Yannick, et al.
Published: (2023)
by: Vogt, Yannick, et al.
Published: (2023)
Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data
by: Zhou, Zhiyuan, et al.
Published: (2024)
by: Zhou, Zhiyuan, et al.
Published: (2024)
Online Symbolic Music Alignment with Offline Reinforcement Learning
by: Peter, Silvan David
Published: (2023)
by: Peter, Silvan David
Published: (2023)
Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024)
by: Zhao, Ziqi, et al.
Published: (2024)
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
by: Guo, Siyuan, et al.
Published: (2023)
by: Guo, Siyuan, et al.
Published: (2023)
Mutual Information Regularized Offline Reinforcement Learning
by: Ma, Xiao, et al.
Published: (2022)
by: Ma, Xiao, et al.
Published: (2022)
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
by: Zhao, Kai, et al.
Published: (2023)
by: Zhao, Kai, et al.
Published: (2023)
Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
by: Liu, Langming, et al.
Published: (2025)
by: Liu, Langming, et al.
Published: (2025)
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
by: Wang, Changhong, et al.
Published: (2024)
by: Wang, Changhong, et al.
Published: (2024)
Scalable Multi-Agent Offline Reinforcement Learning and the Role of Information
by: Zamboni, Riccardo, et al.
Published: (2025)
by: Zamboni, Riccardo, et al.
Published: (2025)
Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning
by: Zeng, Xianghua, et al.
Published: (2025)
by: Zeng, Xianghua, et al.
Published: (2025)
Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2023)
by: Formanek, Claude, et al.
Published: (2023)
Similar Items
-
Towards Fast Safe Online Reinforcement Learning via Policy Finetuning
by: Chen, Keru, et al.
Published: (2024) -
Online Pre-Training for Offline-to-Online Reinforcement Learning
by: Shin, Yongjae, et al.
Published: (2025) -
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
by: Liu, Xu-Hui, et al.
Published: (2024) -
Active Advantage-Aligned Online Reinforcement Learning with Offline Data
by: Liu, Xuefeng, et al.
Published: (2025) -
Bayesian Design Principles for Offline-to-Online Reinforcement Learning
by: Hu, Hao, et al.
Published: (2024)