Saved in:
| Main Authors: | Qiao, Nan, Yue, Sheng, Wang, Shuning, Ren, Ju |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.01968 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Less is More: Clustered Cross-Covariance Control for Offline RL
by: Qiao, Nan, et al.
Published: (2026)
by: Qiao, Nan, et al.
Published: (2026)
FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data
by: Qiao, Nan, et al.
Published: (2025)
by: Qiao, Nan, et al.
Published: (2025)
FORLER: Federated Offline Reinforcement Learning with Q-Ensemble and Actor Rectification
by: Qiao, Nan, et al.
Published: (2026)
by: Qiao, Nan, et al.
Published: (2026)
Federated Offline Policy Optimization with Dual Regularization
by: Yue, Sheng, et al.
Published: (2024)
by: Yue, Sheng, et al.
Published: (2024)
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
by: Yue, Sheng, et al.
Published: (2024)
by: Yue, Sheng, et al.
Published: (2024)
Cloud-Edge Collaborative Large Models for Robust Photovoltaic Power Forecasting
by: Qiao, Nan, et al.
Published: (2026)
by: Qiao, Nan, et al.
Published: (2026)
How to Leverage Diverse Demonstrations in Offline Imitation Learning
by: Yue, Sheng, et al.
Published: (2024)
by: Yue, Sheng, et al.
Published: (2024)
Fat-to-Thin Policy Optimization: Offline RL with Sparse Policies
by: Zhu, Lingwei, et al.
Published: (2025)
by: Zhu, Lingwei, et al.
Published: (2025)
Decoupled Prioritized Resampling for Offline RL
by: Yue, Yang, et al.
Published: (2023)
by: Yue, Yang, et al.
Published: (2023)
Dual Alignment Maximin Optimization for Offline Model-based RL
by: Zhou, Chi, et al.
Published: (2025)
by: Zhou, Chi, et al.
Published: (2025)
Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL
by: Luo, Qin-Wen, et al.
Published: (2024)
by: Luo, Qin-Wen, et al.
Published: (2024)
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL
by: Luo, Qin-Wen, et al.
Published: (2025)
by: Luo, Qin-Wen, et al.
Published: (2025)
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps
by: Ellis, Benjamin, et al.
Published: (2024)
by: Ellis, Benjamin, et al.
Published: (2024)
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
by: Cheng, Jie, et al.
Published: (2024)
by: Cheng, Jie, et al.
Published: (2024)
Diffusion Models as Optimizers for Efficient Planning in Offline RL
by: Huang, Renming, et al.
Published: (2024)
by: Huang, Renming, et al.
Published: (2024)
Inference Time Policy Optimization for Offline RL with Differentiable World Models
by: Deb, Rohan, et al.
Published: (2026)
by: Deb, Rohan, et al.
Published: (2026)
RAGEN-2: Reasoning Collapse in Agentic RL
by: Wang, Zihan, et al.
Published: (2026)
by: Wang, Zihan, et al.
Published: (2026)
Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models
by: Zhang, Hongyin, et al.
Published: (2025)
by: Zhang, Hongyin, et al.
Published: (2025)
Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024)
by: Zhao, Ziqi, et al.
Published: (2024)
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)
Augmenting Offline RL with Unlabeled Data
by: Wang, Zhao, et al.
Published: (2024)
by: Wang, Zhao, et al.
Published: (2024)
Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization
by: Mukherjee, Subhojyoti, et al.
Published: (2025)
by: Mukherjee, Subhojyoti, et al.
Published: (2025)
Improving Offline RL by Blending Heuristics
by: Geng, Sinong, et al.
Published: (2023)
by: Geng, Sinong, et al.
Published: (2023)
Budgeting Counterfactual for Offline RL
by: Liu, Yao, et al.
Published: (2023)
by: Liu, Yao, et al.
Published: (2023)
When Are RL Hyperparameters Benign? A Study in Offline Goal-Conditioned RL
by: Töpperwien, Jan Malte, et al.
Published: (2026)
by: Töpperwien, Jan Malte, et al.
Published: (2026)
DISA: Offline Importance Sampling for Distribution-Matching LLM-RL
by: Wang, Shaobo, et al.
Published: (2026)
by: Wang, Shaobo, et al.
Published: (2026)
Reinformer: Max-Return Sequence Modeling for Offline RL
by: Zhuang, Zifeng, et al.
Published: (2024)
by: Zhuang, Zifeng, et al.
Published: (2024)
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
by: Sun, Hao, et al.
Published: (2023)
by: Sun, Hao, et al.
Published: (2023)
Are Expressive Models Truly Necessary for Offline RL?
by: Wang, Guan, et al.
Published: (2024)
by: Wang, Guan, et al.
Published: (2024)
A Tractable Inference Perspective of Offline RL
by: Liu, Xuejie, et al.
Published: (2023)
by: Liu, Xuejie, et al.
Published: (2023)
On Suppressing Range of Adaptive Stepsizes of Adam to Improve Generalisation Performance
by: Zhang, Guoqiang
Published: (2023)
by: Zhang, Guoqiang
Published: (2023)
Selective Uncertainty Propagation in Offline RL
by: Krishnamurthy, Sanath Kumar, et al.
Published: (2023)
by: Krishnamurthy, Sanath Kumar, et al.
Published: (2023)
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation
by: Kiyohara, Haruka, et al.
Published: (2023)
by: Kiyohara, Haruka, et al.
Published: (2023)
Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting
by: Qiao, Zhongjian, et al.
Published: (2026)
by: Qiao, Zhongjian, et al.
Published: (2026)
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective
by: Yang, Yu-Wei, et al.
Published: (2025)
by: Yang, Yu-Wei, et al.
Published: (2025)
An Empirical Study on the Effectiveness of Incorporating Offline RL As Online RL Subroutines
by: Su, Jianhai, et al.
Published: (2025)
by: Su, Jianhai, et al.
Published: (2025)
Algorithmic Guarantees for Distilling Supervised and Offline RL Datasets
by: Gupta, Aaryan, et al.
Published: (2025)
by: Gupta, Aaryan, et al.
Published: (2025)
Offline RL via Feature-Occupancy Gradient Ascent
by: Neu, Gergely, et al.
Published: (2024)
by: Neu, Gergely, et al.
Published: (2024)
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone
by: Mark, Max Sobol, et al.
Published: (2024)
by: Mark, Max Sobol, et al.
Published: (2024)
Design Considerations in Offline Preference-based RL
by: Agarwal, Alekh, et al.
Published: (2025)
by: Agarwal, Alekh, et al.
Published: (2025)
Similar Items
-
Less is More: Clustered Cross-Covariance Control for Offline RL
by: Qiao, Nan, et al.
Published: (2026) -
FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data
by: Qiao, Nan, et al.
Published: (2025) -
FORLER: Federated Offline Reinforcement Learning with Q-Ensemble and Actor Rectification
by: Qiao, Nan, et al.
Published: (2026) -
Federated Offline Policy Optimization with Dual Regularization
by: Yue, Sheng, et al.
Published: (2024) -
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
by: Yue, Sheng, et al.
Published: (2024)