MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning

International Symposium "Problems of Redundancy in Information and Control Systems" (ISPRICS), 2019

17 December 2020

Papers citing "MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning"

8 / 8 papers shown

Graph-Enhanced Policy Optimization in LLM Agent Training

Jiazhen Yuan

Wei Zhao

Zhengbiao Bai

122

30 Oct 2025

Mastering Complex Coordination through Attention-based Dynamic Graph

233

07 Dec 2023

Towards a Standardised Performance Evaluation Protocol for Cooperative MARLNeural Information Processing Systems (NeurIPS), 2022

250

21 Sep 2022

Joint Attention for Multi-Agent Coordination and Social Learning

173

15 Apr 2021

Cooperative Policy Learning with Pre-trained Heterogeneous Observation RepresentationsAdaptive Agents and Multi-Agent Systems (AAMAS), 2020

Jiang Bian

130

24 Dec 2020

Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information

Douglas De Rizzo Meneghetti

Reinaldo A. C. Bianchi

AI4CE

190

14 Dec 2020

Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks

Douglas De Rizzo Meneghetti

Reinaldo A. C. Bianchi

262

28 Sep 2020

Deep Coordination GraphsInternational Conference on Machine Learning (ICML), 2019

404

204

27 Sep 2019