The talk that I gave for the Berkeley MARL seminar can now be seen on youtube.
It gives an introduction to ideas of influence-based abstraction, focusing also on the inspirations from multiagent planning, as well as implications for future MARL.
Month: September 2022
DIALS accepted to NeurIPS’22
Our paper Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems was accepted to NeurIPS! It shows how influence-based abstraction can be used to parallelize and thus speed up multiagent reinforcement learning, while stabilizing the learning at the same time.