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

PDF] Emergent bluffing and inference with Monte Carlo Tree Search

Neil Burch's research works Google Inc., Mountain View (Google) and other places

PDF] An Expert-Level Card Playing Agent Based on a Variant of Perfect Information Monte Carlo Sampling

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

Michael Bowling's research works University of Alberta, Edmonton (UAlberta) and other places

PDF] Monte Carlo Tree Search for games with hidden information and uncertainty

Oracle - List of Frontiers' open access articles

Loop Kristian Kersting

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

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