Multi-agent Inverse Reinforcement Learning for Certain General-sum Stochastic Games

Xiaomin Lin, Stephen C. Adams, Peter A. Beling

This paper addresses the problem of multi-agent inverse reinforcement learning (MIRL) in a two-player general-sum stochastic game framework. Five variants of MIRL are considered: u…