NashDreamer: Model-Based Reinforcement Learning for Zero-Sum Imperfect-Information Games

Tomáš Holeček, Viliam Lisý

Model-based reinforcement learning (MBRL) has achieved remarkable results in single-agent domains, yet its extension to competitive imperfect information games (IIGs) remains under…