Scaling Up Game Theory: Achievable Set Methods for Efficiently Solving Stochastic Games of Complete and Incomplete Information

Liam MacDermed

Abstract: Proposed Thesis: Achievable set methods can efficiently compute useful game theoretic solutions to general multi-agent reinforcement learning problems.