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

arXiv cs.LG · 2026-07-03 Cached

This paper investigates learning useful policy representations (embeddings) in two-player zero-sum imperfect-information games, introducing methods for creating policy datasets, learning embeddings, and evaluating them on downstream tasks using Kuhn and Leduc Poker.

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