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

22 September 2021

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

4 / 4 papers shown

Title
Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm Chak Lam Shek Amrit Singh Bedi Anjon Basak Ellen Novoseller Nick Waytowich Priya Narayanan Dinesh Manocha Pratap Tokekar 40 0 0 24 Mar 2025
TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent Reinforcement Learning Xiao Hu P. Guo Chuanwei Zhou Tong Zhang Zhen Cui 11 0 0 24 Jun 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning Volodymyr Tkachuk Seyed Alireza Bakhtiari Johannes Kirschner Matej Jusup Ilija Bogunovic Csaba Szepesvári 11 4 0 08 Feb 2023
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition Shunyu Liu Yihe Zhou Jie Song Tongya Zheng Kaixuan Chen Tongtian Zhu Zunlei Feng Mingli Song 19 16 0 23 Nov 2022