Frontiers Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data
Por um escritor misterioso
Descrição
Johannes Czech's research works Technische Universität Darmstadt, Darmstadt (TU) and other places
The human side of AI for chess - Microsoft Research
Frontiers Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data
Figure 4 from Learning the Piece Values for Three Chess Variants
PDF) AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
GitHub - QueensGambit/CrazyAra: A Deep Learning UCI-Chess Variant Engine written in C++ & Python :parrot
Frontiers 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
One Giant Step for a Chess-Playing Machine - The New York Times
Frontiers Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data
PDF] Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
Moritz Willig
Kristian Kersting - Chessprogramming wiki
Frontiers Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data
PDF] Monte-Carlo Graph Search for AlphaZero
de
por adulto (o preço varia de acordo com o tamanho do grupo)
