Cover Image

Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhong, Hai, Wang, Xun, Li, Zhuoran, Huang, Longbo
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Shallow Behavior: Task-Efficient Value-Based Multi-Task Offline MARL via Skill Discovery
by: Wang, Xun, et al.
Published: (2025)

OM2P: Offline Multi-Agent Mean-Flow Policy
by: Li, Zhuoran, et al.
Published: (2025)

Offline Critic-Guided Diffusion Policy for Multi-User Delay-Constrained Scheduling
by: Li, Zhuoran, et al.
Published: (2025)

Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies
by: Li, Zhuoran, et al.
Published: (2026)

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training
by: Chen, Ruishuo, et al.
Published: (2025)

Reparameterization Proximal Policy Optimization
by: Zhong, Hai, et al.
Published: (2025)

Reparameterization Flow Policy Optimization
by: Zhong, Hai, et al.
Published: (2026)

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

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

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2023)

VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning
by: Chen, Xuyang, et al.
Published: (2025)

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

The Three Regimes of Offline-to-Online Reinforcement Learning
by: Li, Lu, et al.
Published: (2025)

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

Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning?
by: Tarasov, Denis, et al.
Published: (2024)

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

Online Optimization for Offline Safe Reinforcement Learning
by: Chemingui, Yassine, et al.
Published: (2025)

Offline Model-Based Reinforcement Learning with Anti-Exploration
by: Srinivasan, Padmanaba, et al.
Published: (2024)

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

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

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

Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning
by: Song, Chihyeon, et al.
Published: (2025)

Discrete Flow Matching for Offline-to-Online Reinforcement Learning
by: Khan, Fairoz Nower, et al.
Published: (2026)

OGER: A Robust Offline-Guided Exploration Reward for Hybrid Reinforcement Learning
by: Ma, Xinyu, et al.
Published: (2026)

Residual Q-Learning: Offline and Online Policy Customization without Value
by: Li, Chenran, et al.
Published: (2023)

Pessimistic Auxiliary Policy for Offline Reinforcement Learning
by: Zhang, Fan, et al.
Published: (2026)

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2024)

Expressive Value Learning for Scalable Offline Reinforcement Learning
by: Espinosa-Dice, Nicolas, et al.
Published: (2025)

Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
by: Wang, Changhong, et al.
Published: (2024)

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

RLSynC: Offline-Online Reinforcement Learning for Synthon Completion
by: Baker, Frazier N., et al.
Published: (2023)

Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning
by: Shin, Yongjae, et al.
Published: (2026)

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)

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

Stable Offline Value Function Learning with Bisimulation-based Representations
by: Pavse, Brahma S., et al.
Published: (2024)

V-OCBF: Learning Safety Filters from Offline Data via Value-Guided Offline Control Barrier Functions
by: Tayal, Mumuksh, et al.
Published: (2025)

Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
by: Huang, Jianuo
Published: (2024)

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
by: Guo, Siyuan, et al.
Published: (2023)

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
by: Zhao, Kai, et al.
Published: (2023)