Arjun Prakash

Towards Learning Representations of Policies in Two-Player Zero-Sum Imperfect-Information Games

Kevin Wang, Kevin Yang, Arjun Prakash, Amy Greenwald

We investigate the problem of learning useful policy representations (embeddings) in two-player zero-sum imperfect-information games. We make three contributions: First, we introduce methods of creating datasets of policies for a given game. Second, we propose methods to learn po…Read more