Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention

25 April 2023

Papers citing "Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention"

6 / 6 papers shown

Title
Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL Yuxuan Zheng Yihe Zhou Feiyang Xu Mingli Song Shunyu Liu OffRL 22 0 0 10 May 2025
Multi-agent Off-policy Actor-Critic Reinforcement Learning for Partially Observable Environments Ainur Zhaikhan Ali H. Sayed OffRL 26 0 0 06 Jul 2024
Convergence of the Deep Galerkin Method for Mean Field Control Problems William Hofgard Jingruo Sun Asaf Cohen AI4CE 21 3 0 22 May 2024
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states Ziyuan Zhou Guanjun Liu AAML 30 23 0 15 May 2022
Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness Xuwei Tan Yangming Zhou Mengchu Zhou Zhang-Hua Fu GNN 19 3 0 03 Dec 2021
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 128 353 0 16 Oct 2019