Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication

1 April 2020

Papers citing "Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication"

7 / 7 papers shown

Title
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering Guillermo Bernárdez José Suárez-Varela Albert Lopez Xiang Shi Shihan Xiao Xiangle Cheng Pere Barlet-Ros A. Cabellos-Aparicio 33 24 0 31 Mar 2023
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning Jiong Li Pratik Gajane 37 4 0 21 Feb 2023
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios Jiajun Chai Yuanheng Zhu Dongbin Zhao 28 0 0 03 Jul 2022
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning Haoxing Chen Guang Yang Junge Zhang Qiyue Yin Kaiqi Huang 26 2 0 02 Jun 2022
Is Machine Learning Ready for Traffic Engineering Optimization? Guillermo Bernárdez José Suárez-Varela Albert Lopez Bo-Xi Wu Shihan Xiao Xiangle Cheng Pere Barlet-Ros A. Cabellos-Aparicio 37 46 0 03 Sep 2021
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 68 101 0 24 Jul 2020
Learning Multi-Agent Coordination through Connectivity-driven Communication E. Pesce Giovanni Montana 24 15 0 12 Feb 2020