activity
20222026
most citedA Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning

8 citations · 9 across the 4 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.GT2024

Bounded Rationality Equilibrium Learning in Mean Field Games

Yannick Eich, Christian Fabian, Kai Cui +1

Mean field games (MFGs) tractably model behavior in large agent populations. The literature on learning MFG equilibria typically focuses on finding Nash equilibria (NE), which assu…

cs.LG2024★ 1 cited

Approximate Control for Continuous-Time POMDPs

Yannick Eich, Bastian Alt, Heinz Koeppl

This work proposes a decision-making framework for partially observable systems in continuous time with discrete state and action spaces. As optimal decision-making becomes intract…