Image de couverture de livre

Shapley Value Based Multi-Agent Reinforcement Learning: Theory, Method and Its Application to Energy Network

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Wang, Jianhong
Format:	Preprint
Publié:	2024
Sujets:	Multiagent Systems Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
par: Wang, Xuefeng, et autres
Publié: (2025)

Double Distillation Network for Multi-Agent Reinforcement Learning
par: Zhou, Yang, et autres
Publié: (2025)

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
par: Schäfer, Lukas, et autres
Publié: (2023)

MACTAS: Self-Attention-Based Inter-Agent Communication in Multi-Agent Reinforcement Learning with Action-Value Function Decomposition
par: Wojtala, Maciej, et autres
Publié: (2025)

Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
par: Wang, Jianhong, et autres
Publié: (2025)

Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings
par: Wang, Zhizun, et autres
Publié: (2026)

A Tensor Network Implementation of Multi Agent Reinforcement Learning
par: Howard, Sunny
Publié: (2024)

The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
par: Baheri, Ali, et autres
Publié: (2024)

Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
par: Duan, Wei, et autres
Publié: (2025)

Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions
par: Jing, Gangshan, et autres
Publié: (2022)

Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping
par: Krishnan, Srivatsan, et autres
Publié: (2025)

Transformer-Based Scalable Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions
par: Sinha, Vidur, et autres
Publié: (2025)

A Survey of Multi-Agent Deep Reinforcement Learning with Communication
par: Zhu, Changxi, et autres
Publié: (2022)

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
par: Shen, Siqi, et autres
Publié: (2023)

Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs
par: Zhao, Yujie, et autres
Publié: (2025)

Multi-Agent Craftax: Benchmarking Open-Ended Multi-Agent Reinforcement Learning at the Hyperscale
par: Omari, Bassel Al, et autres
Publié: (2025)

An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning
par: Amato, Christopher
Publié: (2024)

Fully Independent Communication in Multi-Agent Reinforcement Learning
par: Pina, Rafael, et autres
Publié: (2024)

Focusing Influence Mechanism for Multi-Agent Reinforcement Learning
par: Park, Yisak, et autres
Publié: (2025)

Generalized Intention Modeling in Multi-Agent Reinforcement Learning
par: Odrowaz-Sypniewski, Mateusz, et autres
Publié: (2026)

Trajectory-Class-Aware Multi-Agent Reinforcement Learning
par: Na, Hyungho, et autres
Publié: (2025)

Interactive Distillation for Cooperative Multi-Agent Reinforcement Learning
par: Cho, Minwoo, et autres
Publié: (2026)

Open Ad Hoc Teamwork with Cooperative Game Theory
par: Wang, Jianhong, et autres
Publié: (2024)

Meritocratic Fairness in Budgeted Combinatorial Multi-armed Bandits via Shapley Values
par: Sharma, Shradha, et autres
Publié: (2026)

Optimistic ε-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning
par: Zhang, Ruoning, et autres
Publié: (2025)

Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
par: Bui, The Viet, et autres
Publié: (2025)

Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning
par: Gardiner, John, et autres
Publié: (2026)

Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems
par: Holder, Joshua, et autres
Publié: (2024)

Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
par: Eldeeb, Eslam, et autres
Publié: (2024)

CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
par: Gupta, Nikunj, et autres
Publié: (2023)

Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning
par: Büchi, Hannes, et autres
Publié: (2026)

Hierarchical Lead Critic based Multi-Agent Reinforcement Learning
par: Eckel, David, et autres
Publié: (2026)

Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
par: Zhang, Zhiyao, et autres
Publié: (2025)

Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation
par: Wang, Baoqian, et autres
Publié: (2022)

MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits
par: Zhang, Yuhang, et autres
Publié: (2023)

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics
par: Hazra, Somnath, et autres
Publié: (2025)

NDRL: Cotton Irrigation and Nitrogen Application with Nested Dual-Agent Reinforcement Learning
par: Xu, Ruifeng, et autres
Publié: (2025)

Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning
par: Liu, Lin, et autres
Publié: (2024)

Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction
par: Farhat, Zain Ulabedeen, et autres
Publié: (2025)

Multi-Agent Based Transfer Learning for Data-Driven Air Traffic Applications
par: Deng, Chuhao, et autres
Publié: (2024)