A survey and critique of multiagent deep reinforcement learning

Deep reinforcement learning (RL) has achieved outstanding results in recent years. This has led to a dramatic increase in the number of applications and methods. Recent works have explored learning beyond single-agent scenarios and have considered multiagent learning (MAL) scenarios. Initial results...

Full description

Bibliographic Details

Published in:	Autonomous agents and multi-agent systems Vol. 33; no. 6; pp. 750 - 797
Main Authors:	Hernandez-Leal, Pablo, Kartal, Bilal, Taylor, Matthew E.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.11.2019 Springer Nature B.V
Subjects:	Artificial Intelligence Computer Science Computer Systems Organization and Communication Networks Domains Machine learning Multiagent systems New Horizons in Multiagent Learning Software Engineering/Programming and Operating Systems User Interfaces and Human Computer Interaction Multiagent learning Deep reinforcement learning Multiagent systems Survey Multiagent reinforcement learning
ISSN:	1387-2532, 1573-7454
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!