Cover Image

Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Mingyang, Ding, Pengxiang, Zhang, Weinan, Wang, Donglin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Iterative Refinement of Flow Policies in Probability Space for Online Reinforcement Learning
by: Sun, Mingyang, et al.
Published: (2025)

Reinforcing Language Agents via Policy Optimization with Action Decomposition
by: Wen, Muning, et al.
Published: (2024)

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

Score and Distribution Matching Policy: Advanced Accelerated Visuomotor Policies via Matched Distillation
by: Jia, Bofang, et al.
Published: (2024)

Diffusion Models for Reinforcement Learning: A Survey
by: Zhu, Zhengbang, et al.
Published: (2023)

DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
by: Li, Guanghe, et al.
Published: (2024)

Is Optimal Transport Necessary for Inverse Reinforcement Learning?
by: Dong, Zixuan, et al.
Published: (2025)

On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting
by: Zhang, Wenhao, et al.
Published: (2025)

PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork
by: Chan, Hohei, et al.
Published: (2025)

Maximum Entropy Reinforcement Learning with Diffusion Policy
by: Dong, Xiaoyi, et al.
Published: (2025)

Stabilizing Reinforcement Learning for Diffusion Language Models
by: Zhong, Jianyuan, et al.
Published: (2026)

Entropy-Regularized Token-Level Policy Optimization for Language Agent Reinforcement
by: Wen, Muning, et al.
Published: (2024)

Robot Policy Learning with Temporal Optimal Transport Reward
by: Fu, Yuwei, et al.
Published: (2024)

Learning a Diffusion Model Policy from Rewards via Q-Score Matching
by: Psenka, Michael, et al.
Published: (2023)

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

Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment
by: Ding, Qijie, et al.
Published: (2022)

Solving Prior Distribution Mismatch in Diffusion Models via Optimal Transport
by: Wang, Zhanpeng, et al.
Published: (2024)

Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport Maps
by: Omura, Motoki, et al.
Published: (2025)

Overcoming Overfitting in Reinforcement Learning via Gaussian Process Diffusion Policy
by: Horprasert, Amornyos, et al.
Published: (2025)

Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects
by: Wang, Xihuai, et al.
Published: (2022)

Flow-Based Policy for Online Reinforcement Learning
by: Lv, Lei, et al.
Published: (2025)

SAMG: Offline-to-Online Reinforcement Learning via State-Action-Conditional Offline Model Guidance
by: Zhang, Liyu, et al.
Published: (2024)

Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
by: Sun, Xiaolin, et al.
Published: (2025)

Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
by: Queeney, James, et al.
Published: (2023)

Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration
by: Zhang, Ziqi, et al.
Published: (2023)

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

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

Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
by: Goh, Yong Liang, et al.
Published: (2022)

Optimal and Diffusion Transports in Machine Learning
by: Peyré, Gabriel
Published: (2025)

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

Reinforcing Numerical Reasoning in LLMs for Tabular Prediction via Structural Priors
by: Cai, Pengxiang, et al.
Published: (2025)

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

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

Efficient Controllable Diffusion via Optimal Classifier Guidance
by: Oertell, Owen, et al.
Published: (2025)

Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving
by: Jin, Guizhe, et al.
Published: (2025)

COPR: Continual Human Preference Learning via Optimal Policy Regularization
by: Zhang, Han, et al.
Published: (2024)

On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning
by: Barakat, Anas, et al.
Published: (2024)

Optimal Policy Sparsification and Low Rank Decomposition for Deep Reinforcement Learning
by: Goddla, Vikram
Published: (2024)

CausalGDP: Causality-Guided Diffusion Policies for Reinforcement Learning
by: Xiao, Xiaofeng, et al.
Published: (2026)

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