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):

Report Date:

2018-04-17

Pagination or Media Count:

6.0

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.

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE