论文《Multi-Agent Incentive Communication via Decentralized Teammate Modeling》来自 AAAI 2022。这篇论文提出多智能体激励通信(Multi-Agent Incentive Communication,MAIC),整体框架如下。整体上采用 QIX 框架,通信结构主要加在局部Q 网络上,额外加入队友建模(Teammate Modeling)和信息生成(Message Generator)两个模块。
论文分享:Multi-Agent Incentive Communication via Decentralized Teammate Modeling 强化学习实验室 官网:http://rl.beiyang.ren46 人赞同了该文章 本文是发表在AAAI-2022的一篇多智能体通讯的文章,本文声称为了实现高效和类人的团队合作,研究了一种新的通信方案,该方案允许agent交换有说服力的消息以明确地协调...
【RLChina论文研讨会】第19期 袁雷 Multi-Agent Incentive Communication via Decentralized Team 387 0 18:18 App 【RLChina论文研讨会】第5期 沈之浩 DeepAPP_ A Deep Reinforcement Learning Framework for Mobil 615 0 43:06 App 【RLChina论文研讨会】第39期 潘学海 MATE:Benchmarking Multi-Agent Reinforcem...
This is the implementation of the paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling". This repo is currently maintained by theLAMDA-RLgroup. Note: the experiments of MAIC is conducted in SC2.4.6.2.69232, which is same as the SMAC run data release (https://github...
2.3Communication in recent surveys Communication has attracted much attention in the field of multi-agent reinforcement learning (MARL). Previous surveys mentioning communication in MARL primarily focus on providing an overview of MARL’s development. These surveys view communication as a subfield in MARL...
P.,Ehtamo,H.Multi-Agent Interaction Processes: From Oligopoly Theory to Decentralized Artificial Intelligence. Group Decision and Negotiation . 1992Multi-agent interaction processes: From oligopoly theory to decentralized artificial intelligence. Group Decision and Negotiation - Verkama, Hämäläinen,...
Coordination without communication: experimental validation of focal point techniques Proceedings 1st International Conference on Multiagent Systems (1995), pp. 102-116 Google Scholar [16] K. Fischer, N. Kuhn A DAI approach to modeling the transportation domain Technical Report RR93-25, Deutsches Fors...
MULTIAGENT INTERACTIONS AnIntroductiontoMultiAgentSystems http://.csc.liv.ac.uk/~mjw/pubs/imas 6-2 WhatareMultiagentSystems? 6-3 MultiAgentSystems Thusamultiagentsystemcontainsa numberofagents… …whichinteractthroughcommunication… …areabletoactinanenvironment… ...
Multi-Agent Incentive Communication via Decentralized Teammate Modeling 925 29:00 Regularized Softmax Deep Multi-Agent Q-learning 462 24:00 Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee 512 51:00 大规模不完美信息博弈学习平台与算法 1719 01:08:00 和不同算法实现的AI下棋打牌是...
(2019). Study of Agent Cooperation Incentive Strategy Based on Game Theory in Multi-Agent System. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. ...