Accession Number : AD1053581


Title :   Concurrent Learning of Control in Multi-agent Sequential Decision Tasks


Descriptive Note : Technical Report,01 May 2011,30 Apr 2015


Corporate Author : University of Southern Mississippi Hattiesburg United States


Personal Author(s) : Banerjee,Bikramjit


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1053581.pdf


Report Date : 17 Apr 2018


Pagination or Media Count : 6


Abstract : The overall objective of this project was to develop multi-agent reinforcement learning (MARL) approaches for intelligent agents to autonomously learn distributed control policies in decentralized partially observable Markov decision processes (Dec-POMDPs), without prior knowledge of the model parameters.


Descriptors :   MULTIAGENT SYSTEMS , models , learning , artificial intelligence


Subject Categories : Cybernetics


Distribution Statement : APPROVED FOR PUBLIC RELEASE