Saved in:
| Main Authors: | Ma, Xinyu, Xu, Mingzhou, Liu, Xuebo, Jin, Chang, Wang, Qiang, Wong, Derek F., Zhang, Min |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.18530 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Offline Reinforcement learning with Heavy-Tailed Rewards
by: Zhu, Jin, et al.
Published: (2023)
by: Zhu, Jin, et al.
Published: (2023)
OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration
by: Yang, Yiqin, et al.
Published: (2026)
by: Yang, Yiqin, et al.
Published: (2026)
Offline Reinforcement Learning with Imputed Rewards
by: Romeo, Carlo, et al.
Published: (2024)
by: Romeo, Carlo, et al.
Published: (2024)
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset
by: Ma, Xinyu, et al.
Published: (2024)
by: Ma, Xinyu, et al.
Published: (2024)
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
by: Liu, Zeyuan, et al.
Published: (2025)
by: Liu, Zeyuan, et al.
Published: (2025)
Mutual Information Regularized Offline Reinforcement Learning
by: Ma, Xiao, et al.
Published: (2022)
by: Ma, Xiao, et al.
Published: (2022)
Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning
by: Lee, Younghwan, et al.
Published: (2025)
by: Lee, Younghwan, et al.
Published: (2025)
DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory
by: Wang, Yutong, et al.
Published: (2024)
by: Wang, Yutong, et al.
Published: (2024)
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
by: Liu, Liangxin, et al.
Published: (2024)
by: Liu, Liangxin, et al.
Published: (2024)
LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble
by: Lee, Yujeong, et al.
Published: (2024)
by: Lee, Yujeong, et al.
Published: (2024)
Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration
by: Zhang, Ziqi, et al.
Published: (2023)
by: Zhang, Ziqi, et al.
Published: (2023)
Offline Model-Based Reinforcement Learning with Anti-Exploration
by: Srinivasan, Padmanaba, et al.
Published: (2024)
by: Srinivasan, Padmanaba, et al.
Published: (2024)
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
by: Liu, Zhishuai, et al.
Published: (2024)
by: Liu, Zhishuai, et al.
Published: (2024)
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration
by: Zhong, Hai, et al.
Published: (2024)
by: Zhong, Hai, et al.
Published: (2024)
Robust Probabilistic Shielding for Safe Offline Reinforcement Learning
by: Galesloot, Maris F. L., et al.
Published: (2026)
by: Galesloot, Maris F. L., et al.
Published: (2026)
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)
by: Liu, Tenglong, et al.
Published: (2024)
Loong: A Human-Like Long Document Translation Agent with Observe-and-Act Adaptive Context Selection
by: Wang, Yutong, et al.
Published: (2026)
by: Wang, Yutong, et al.
Published: (2026)
Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization
by: Tang, Cheng, et al.
Published: (2024)
by: Tang, Cheng, et al.
Published: (2024)
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
by: Choi, Heewoong, et al.
Published: (2024)
by: Choi, Heewoong, et al.
Published: (2024)
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
by: Hu, Jifeng, et al.
Published: (2025)
by: Hu, Jifeng, et al.
Published: (2025)
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
by: Yang, Rui, et al.
Published: (2023)
by: Yang, Rui, et al.
Published: (2023)
Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024)
by: Zhao, Ziqi, et al.
Published: (2024)
Universal Black-Box Reward Poisoning Attack against Offline Reinforcement Learning
by: Xu, Yinglun, et al.
Published: (2024)
by: Xu, Yinglun, et al.
Published: (2024)
CVeDRL: An Efficient Code Verifier via Difficulty-aware Reinforcement Learning
by: Shi, Ji, et al.
Published: (2026)
by: Shi, Ji, et al.
Published: (2026)
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)
by: Ma, Yunchang, et al.
Published: (2025)
Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data
by: Kim, Jeonghye, et al.
Published: (2025)
by: Kim, Jeonghye, et al.
Published: (2025)
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)
by: Li, Mingxuan, et al.
Published: (2026)
Reinforcement Learning with Robust Rubric Rewards
by: Yu, Ya-Qi, et al.
Published: (2026)
by: Yu, Ya-Qi, et al.
Published: (2026)
CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
by: Liu, Shudong, et al.
Published: (2025)
by: Liu, Shudong, et al.
Published: (2025)
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
by: Zhang, Haichao, et al.
Published: (2023)
by: Zhang, Haichao, et al.
Published: (2023)
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)
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
by: Nguyen, Thanh, et al.
Published: (2024)
by: Nguyen, Thanh, et al.
Published: (2024)
State-Constrained Offline Reinforcement Learning
by: Hepburn, Charles A., et al.
Published: (2024)
by: Hepburn, Charles A., et al.
Published: (2024)
CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers
by: Deng, Hexuan, et al.
Published: (2026)
by: Deng, Hexuan, et al.
Published: (2026)
OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment
by: Lim, Yooseok, et al.
Published: (2024)
by: Lim, Yooseok, et al.
Published: (2024)
T$^2$PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning
by: Wang, Haixin, et al.
Published: (2026)
by: Wang, Haixin, et al.
Published: (2026)
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)
by: Zheng, Yinan, et al.
Published: (2024)
Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning
by: Guo, Weiyang, et al.
Published: (2025)
by: Guo, Weiyang, et al.
Published: (2025)
Efficient On-Policy Reinforcement Learning via Exploration of Sparse Parameter Space
by: Zhang, Xinyu, et al.
Published: (2025)
by: Zhang, Xinyu, et al.
Published: (2025)
Similar Items
-
Robust Offline Reinforcement learning with Heavy-Tailed Rewards
by: Zhu, Jin, et al.
Published: (2023) -
OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration
by: Yang, Yiqin, et al.
Published: (2026) -
Offline Reinforcement Learning with Imputed Rewards
by: Romeo, Carlo, et al.
Published: (2024) -
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset
by: Ma, Xinyu, et al.
Published: (2024) -
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
by: Liu, Zeyuan, et al.
Published: (2025)