:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pang, Teng, Wang, Bingzheng, Wu, Guoqiang, Yin, Yilong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2503.01143
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning
by: Zhang, Yan, et al.
Published: (2024)

Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement Learning
by: Pang, Teng, et al.
Published: (2026)

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning
by: Dong, Zhiqiang, et al.
Published: (2026)

Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
by: Choi, Heewoong, et al.
Published: (2024)

Binary Reward Labeling: Bridging Offline Preference and Reward-Based Reinforcement Learning
by: Xu, Yinglun, et al.
Published: (2024)

From Reward-Free Representations to Preferences: Rethinking Offline Preference-Based Reinforcement Learning
by: Yang, Jun-Jie, et al.
Published: (2026)

Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2024)

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

LEASE: Offline Preference-based Reinforcement Learning with High Sample Efficiency
by: Liu, Xiao-Yin, et al.
Published: (2024)

Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning
by: Wang, Qi, et al.
Published: (2025)

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

Offline Reinforcement Learning with Imputed Rewards
by: Romeo, Carlo, et al.
Published: (2024)

Exploring and Addressing Reward Confusion in Offline Preference Learning
by: Chen, Xin, et al.
Published: (2024)

Preference Elicitation for Offline Reinforcement Learning
by: Pace, Alizée, et al.
Published: (2024)

Residual Reward Models for Preference-based Reinforcement Learning
by: Cao, Chenyang, et al.
Published: (2025)

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

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

PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
by: Sun, Shengjie, et al.
Published: (2025)

Behavior Preference Regression for Offline Reinforcement Learning
by: Srinivasan, Padmanaba, et al.
Published: (2025)

Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actions
by: Xu, Yinglun, et al.
Published: (2023)

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
by: Tu, Songjun, et al.
Published: (2024)

Equivariant Efficient Joint Discrete and Continuous MeanFlow for Molecular Graph Generation
by: Xu, Rongjian, et al.
Published: (2026)

Reward-Relevance-Filtered Linear Offline Reinforcement Learning
by: Zhou, Angela
Published: (2024)

Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning
by: Zeng, Xianghua, et al.
Published: (2025)

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

From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning
by: Chaudhary, Gaurav, et al.
Published: (2025)

MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
by: Yuan, Yifu, et al.
Published: (2024)

Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning
by: Oh, Jihwan, et al.
Published: (2024)

Offline Multitask Representation Learning for Reinforcement Learning
by: Ishfaq, Haque, et al.
Published: (2024)

Similarity as Reward Alignment: Robust and Versatile Preference-based Reinforcement Learning
by: Rajaram, Sara, et al.
Published: (2025)

Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards
by: Metcalf, Katherine, et al.
Published: (2024)

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning
by: Venugopal, Aravind, et al.
Published: (2026)

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

DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning
by: He, Longxiang, et al.
Published: (2023)

Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)

Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay
by: Liu, Jinmei, et al.
Published: (2024)

Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning
by: Tang, Yuting, et al.
Published: (2024)

Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data
by: Kim, Jeonghye, et al.
Published: (2025)

Prior-Guided Diffusion Planning for Offline Reinforcement Learning
by: Ki, Donghyeon, et al.
Published: (2025)

Diffusion Self-Weighted Guidance for Offline Reinforcement Learning
by: Tagle, Augusto, et al.
Published: (2025)