GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement
Learning

GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning

17 January 2022

Jun Wang

Papers citing "GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning"

6 / 6 papers shown

Title
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations Keisuke Fujii Kazushi Tsutsui Atom Scott Hiroshi Nakahara Naoya Takeishi Yoshinobu Kawahara 18 6 0 22 May 2023
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation Xiyun Li Ziyi Ni Jingqing Ruan Linghui Meng Jing Shi Tielin Zhang Bo Xu 53 4 0 10 May 2023
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning Xuefeng Wang Xinran Li Jiawei Shao Jun Zhang 9 3 0 24 Feb 2023
Scalable Model-based Policy Optimization for Decentralized Networked Systems Yali Du Chengdong Ma Yuchen Liu Runji Lin Hao Dong Jun Wang Yaodong Yang 18 8 0 13 Jul 2022
Bi-level Actor-Critic for Multi-agent Coordination Haifeng Zhang Weizhe Chen Zeren Huang Minne Li Yaodong Yang Weinan Zhang Jun Wang 96 91 0 08 Sep 2019
Off-Policy Actor-Critic T. Degris Martha White R. Sutton OffRL CML 158 220 0 22 May 2012