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Papers
2010.04740
Cited By

Graph Convolutional Value Decomposition in Multi-Agent Reinforcement
Learning

v1v2 (latest)

Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning

9 October 2020

Navid Naderializadeh

ArXiv (abs)PDF HTML

Papers citing "Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning"

12 / 12 papers shown

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective

Shahbaz P Qadri Syed

172

0

0

11 Oct 2025

Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning

Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning

224

0

0

31 Jul 2025

Bridging Training and Execution via Dynamic Directed Graph-Based
Communication in Cooperative Multi-Agent Systems

Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent SystemsAAAI Conference on Artificial Intelligence (AAAI), 2024

194

8

0

14 Aug 2024

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning

316

15

0

28 Mar 2024

Graph Neural Network-based Multi-agent Reinforcement Learning for
Resilient Distributed Coordination of Multi-Robot Systems

Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems

Anthony Goeckner

Nicolas Martinet

305

13

0

19 Mar 2024

Graph Reinforcement Learning Application to Co-operative Decision-Making
in Mixed Autonomy Traffic: Framework, Survey, and Challenges

Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges

342

8

0

06 Nov 2022

A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based
Policy Learning

A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy LearningJournal of machine learning research (JMLR), 2022

Ignacio Carlucho

Stefano V. Albrecht

329

20

0

11 Oct 2022

A Policy Resonance Approach to Solve the Problem of Responsibility
Diffusion in Multiagent Reinforcement Learning

A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022

500

2

0

16 Aug 2022

QGNN: Value Function Factorisation with Graph Neural Networks

QGNN: Value Function Factorisation with Graph Neural Networks

Ryan Kortvelesy

Amanda Prorok

341

20

0

25 May 2022

Cooperative Multi-Agent Reinforcement Learning with Hypergraph
Convolution

Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution

291

8

0

09 Dec 2021

Locality Matters: A Scalable Value Decomposition Approach for
Cooperative Multi-Agent Reinforcement Learning

Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2021

Guy Tennenholtz

222

11

0

22 Sep 2021

Context-Aware Sparse Deep Coordination Graphs

Context-Aware Sparse Deep Coordination Graphs

Tonghan Wang

293

39

0

05 Jun 2021

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