Image de couverture de livre

Evolving Diffusion and Flow Matching Policies for Online Reinforcement Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Chubin, Wan, Zhenglin, Chen, Feng, Yang, Fuchao, Feng, Lang, Zhou, Yaxin, Yu, Xingrui, You, Yang, Tsang, Ivor, An, Bo
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning
par: Wan, Zhenglin, et autres
Publié: (2025)

Adversarial Dual On-Policy Distillation from Expressive Teacher
par: Wan, Zhenglin, et autres
Publié: (2026)

Letting Trajectories Spread: Quality-Preserving Control for Diverse Flow Matching
par: Wu, Jingxuan, et autres
Publié: (2025)

HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models
par: Yan, Xin, et autres
Publié: (2026)

Time-Annealed Perturbation Sampling: Diverse Generation for Diffusion Language Models
par: Wu, Jingxuan, et autres
Publié: (2026)

AgentOCR: Reimagining Agent History via Optical Self-Compression
par: Feng, Lang, et autres
Publié: (2026)

SA-VLA: Spatially-Aware Flow-Matching for Vision-Language-Action Reinforcement Learning
par: Pan, Xu, et autres
Publié: (2026)

Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
par: Yu, Xingrui, et autres
Publié: (2024)

Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
par: Wan, Zhenglin, et autres
Publié: (2024)

Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models
par: Ping, Bowen, et autres
Publié: (2026)

Advancing Analytic Class-Incremental Learning through Vision-Language Calibration
par: Zhao, Binyu, et autres
Publié: (2026)

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
par: Zhang, Tonghe, et autres
Publié: (2025)

Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies
par: Li, Zeyang, et autres
Publié: (2026)

Mitigating Mismatch within Reference-based Preference Optimization
par: Yuan, Suqin, et autres
Publié: (2026)

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
par: Zhao, Heyang, et autres
Publié: (2025)

Efficient Online Reinforcement Learning for Diffusion Policy
par: Ma, Haitong, et autres
Publié: (2025)

Reinforcement Learning for Flow-Matching Policies
par: Pfrommer, Samuel, et autres
Publié: (2025)

FlowRL: A Taxonomy and Modular Framework for Reinforcement Learning with Diffusion Policies
par: Gao, Chenxiao, et autres
Publié: (2026)

Flow-Based Policy for Online Reinforcement Learning
par: Lv, Lei, et autres
Publié: (2025)

PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning
par: Yang, Shunpeng, et autres
Publié: (2026)

Controllable Flow Matching for Online Reinforcement Learning
par: Wang, Bin, et autres
Publié: (2025)

Towards Backdoor-Based Ownership Verification for Vision-Language-Action Models
par: Sun, Ming, et autres
Publié: (2026)

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
par: Tan, Kim Yong, et autres
Publié: (2025)

Max-Entropy Reinforcement Learning with Flow Matching and A Case Study on LQR
par: Zhang, Yuyang, et autres
Publié: (2025)

Discrete Flow Matching for Offline-to-Online Reinforcement Learning
par: Khan, Fairoz Nower, et autres
Publié: (2026)

Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning
par: Xue, Zhenghai, et autres
Publié: (2025)

Truncated Rectified Flow Policy for Reinforcement Learning with One-Step Sampling
par: Zhou, Xubin, et autres
Publié: (2026)

Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning
par: Shin, Yongjae, et autres
Publié: (2026)

Online Matching via Reinforcement Learning: An Expert Policy Orchestration Strategy
par: Mignacco, Chiara, et autres
Publié: (2025)

Learning Discretized Neural Networks under Ricci Flow
par: Chen, Jun, et autres
Publié: (2023)

Flow Matching Policy Gradients
par: McAllister, David, et autres
Publié: (2025)

Do You Trust the Process?: Modeling Institutional Trust for Community Adoption of Reinforcement Learning Policies
par: Balepur, Naina, et autres
Publié: (2025)

Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
par: Liu, Xu-Hui, et autres
Publié: (2024)

Balanced Image Stylization with Style Matching Score
par: Jiang, Yuxin, et autres
Publié: (2025)

PolicyEvol-Agent: Evolving Policy via Environment Perception and Self-Awareness with Theory of Mind
par: Yu, Yajie, et autres
Publié: (2025)

Uncover and Unlearn Nuisances: Agnostic Fully Test-Time Adaptation
par: Srey, Ponhvoan, et autres
Publié: (2025)

Flow Matching for Offline Reinforcement Learning with Discrete Actions
par: Khan, Fairoz Nower, et autres
Publié: (2026)

Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration
par: Zheng, Chengqi, et autres
Publié: (2025)

Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
par: Tan, Kim Yong, et autres
Publié: (2026)

Policy Dispersion in Non-Markovian Environment
par: Qu, Bohao, et autres
Publié: (2023)