23 citations · 62 across the 9 of their papers we have counts for
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cs.MA2019
Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems
Kleanthis Malialis, Sam Devlin, Daniel Kudenko
Real-world congestion problems (e.g. traffic congestion) are typically very complex and large-scale. Multiagent reinforcement learning (MARL) is a promising candidate for dealing w…
cs.MA2018
Deep Multi-Agent Reinforcement Learning with Relevance Graphs
Aleksandra Malysheva, Tegg Taekyong Sung, Chae-Bong Sohn +2
Over recent years, deep reinforcement learning has shown strong successes in complex single-agent tasks, and more recently this approach has also been applied to multi-agent domain…