Frontiers AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
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PDF) AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
Neil Burch's research works Google Inc., Mountain View (Google) and other places
Frontiers 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) Representation Matters: The Game of Chess Poses a Challenge to Vision Transformers
PDF] Monte Carlo Tree Search for games with hidden information and uncertainty
Jannis Blüml's research works Technische Universität Darmstadt, Darmstadt (TU) and other places
PDF] Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
Oracle - List of Frontiers' open access articles
PDF) Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data
Oracle - List of Frontiers' open access articles
PDF] Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data
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