Frontiers AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
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Frontiers Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation
Frontiers AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
PDF) AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
Frontiers AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
PDF) AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
PDF) AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
Michael Bowling's research works University of Alberta, Edmonton (UAlberta) and other places
PDF] An Expert-Level Card Playing Agent Based on a Variant of Perfect Information Monte Carlo Sampling
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PDF) Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman
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