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…