:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Fan, Huang, Baoru, Zhang, Xin
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2602.23974
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data
by: Wang, Danyang, et al.
Published: (2024)

Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning
by: Bai, Chenjia, et al.
Published: (2024)

Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning
by: Yu, Xudong, et al.
Published: (2024)

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)

Policy Constraint by Only Support Constraint for Offline Reinforcement Learning
by: Gao, Yunkai, et al.
Published: (2025)

Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
by: Zhang, Haichao, et al.
Published: (2023)

Pessimistic Off-Policy Optimization for Learning to Rank
by: Cief, Matej, et al.
Published: (2022)

LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning
by: Zhang, Hanping, et al.
Published: (2025)

Optimistic Policy Learning under Pessimistic Adversaries with Regret and Violation Guarantees
by: Ganguly, Sourav, et al.
Published: (2026)

Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2025)

Offline Reinforcement Learning with Generative Trajectory Policies
by: Feng, Xinsong, et al.
Published: (2025)

Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
by: Zhang, Tianle, et al.
Published: (2024)

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
by: Hu, Jifeng, et al.
Published: (2025)

Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization
by: Zhan, Simon Sinong, et al.
Published: (2025)

Pessimistic Verification for Open Ended Math Questions
by: Huang, Yanxing, et al.
Published: (2025)

Policy-Based Trajectory Clustering in Offline Reinforcement Learning
by: Hu, Hao, et al.
Published: (2025)

Policy-regularized Offline Multi-objective Reinforcement Learning
by: Lin, Qian, et al.
Published: (2024)

Evaluation-Time Policy Switching for Offline Reinforcement Learning
by: Neggatu, Natinael Solomon, et al.
Published: (2025)

Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data
by: Madhow, Sunil, et al.
Published: (2023)

Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
by: Chemingui, Yassine, et al.
Published: (2024)

When is Offline Policy Selection Sample Efficient for Reinforcement Learning?
by: Liu, Vincent, et al.
Published: (2023)

Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
by: Kang, Hyungkyu, et al.
Published: (2025)

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
by: Huang, Xiao, et al.
Published: (2025)

Offline Policy Optimization with Posterior Sampling
by: Lin, Hongqiang, et al.
Published: (2026)

Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning
by: Bozkurt, Alper Kamil, et al.
Published: (2026)

Diffusion Policies creating a Trust Region for Offline Reinforcement Learning
by: Chen, Tianyu, et al.
Published: (2024)

Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
by: Alles, Marvin, 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)

Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling
by: van Remmerden, Jesse, et al.
Published: (2024)

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
by: Alles, Marvin, et al.
Published: (2025)

Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
by: Fan, Ziqing, et al.
Published: (2024)

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
by: Mao, Liyuan, et al.
Published: (2024)

OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration
by: Yang, Yiqin, et al.
Published: (2026)

Imagination-Limited Q-Learning for Offline Reinforcement Learning
by: Liu, Wenhui, et al.
Published: (2025)

Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning
by: Tiofack, Franki Nguimatsia, et al.
Published: (2025)

IPD: Boosting Sequential Policy with Imaginary Planning Distillation in Offline Reinforcement Learning
by: Qin, Yihao, et al.
Published: (2026)

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
by: Liu, Zongkai, et al.
Published: (2024)

Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm
by: Lim, Yooseok, et al.
Published: (2024)