Frontiers AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
Por um escritor misterioso
Descrição
Frontiers AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
Loop Kristian Kersting
PDF] Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data
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] 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
PDF) Representation Matters: The Game of Chess Poses a Challenge to Vision Transformers
Neil Burch's research works Google Inc., Mountain View (Google) and other places
PDF) 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
