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

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

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

Frontiers in Artificial Intelligence Machine Learning and Artificial Intelligence

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

PDF] Emergent bluffing and inference with Monte Carlo Tree Search

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

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

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

PDF) Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman

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

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