A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning

22 February 2022

Papers citing "A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning"

7 / 7 papers shown

Title
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing Xiaolan Liu Jiadong Yu Yue Gao 67 87 0 05 Apr 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 121 1,197 0 24 Nov 2019
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario Huichu Zhang Siyuan Feng Chang-rui Liu Yaoyao Ding Yichen Zhu Zihan Zhou Weinan Zhang Yong Yu Haiming Jin Z. Li AI4TS AI4CE 29 274 0 13 May 2019
Managing engineering systems with large state and action spaces through deep reinforcement learning Varun Chandrasekaran K. Papakonstantinou AI4CE 36 161 0 05 Nov 2018
Learning Attentional Communication for Multi-Agent Cooperation Jiechuan Jiang Zongqing Lu 42 484 0 20 May 2018
Learning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Arthur Szlam Rob Fergus 156 1,139 0 25 May 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 39 147 0 08 Feb 2016