Frontiers AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong

PDF] Combining Deep Reinforcement Learning and Search for Imperfect-Information Games

PDF] Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

PDF) Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

Johannes Czech's research works Technische Universität Darmstadt, Darmstadt (TU) and other places

Frontiers Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation

PDF) AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong

Oracle - List of Frontiers' open access articles

Jannis Blüml's research works Technische Universität Darmstadt, Darmstadt (TU) and other places

PDF) AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong

Frontiers Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation