Game of Chess
7 papers with code • 0 benchmarks • 0 datasets
Chess is a two-player strategy board game played on a chessboard, a checkered gameboard with 64 squares arranged in an 8×8 grid. The idea of making a machine that could beat a Grandmaster human player was a fascination in the artificial community for decades. Famously IBM's DeepBlue beat Kasparov in the 1990s. More recently more human-like approaches such as AlphaZero have appeared.
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Use these libraries to find Game of Chess models and implementationsMost implemented papers
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
The game of chess is the most widely-studied domain in the history of artificial intelligence.
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
werner-duvaud/muzero-general
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When evaluated on Go, chess and shogi, without any knowledge of the game rules, MuZero matched the superhuman performance of the AlphaZero algorithm that was supplied with the game rules.
Giraffe: Using Deep Reinforcement Learning to Play Chess
saikrishna-1996/deep_pepper_chess
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This report presents Giraffe, a chess engine that uses self-play to discover all its domain-specific knowledge, with minimal hand-crafted knowledge given by the programmer.
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess
We present an end-to-end learning method for chess, relying on deep neural networks.
Chess as a Testbed for Language Model State Tracking
shtoshni/learning-chess-blindfolded
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Motivated by this issue, we consider the task of language modeling for the game of chess.
Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data
harsh19/ChessCommentaryGeneration
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ACL 2018
This paper examines the problem of generating natural language descriptions of chess games.
Playing Chess with Limited Look Ahead
ArmanMaesumi/LimitedLookAheadChess
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We have seen numerous machine learning methods tackle the game of chess over the years.
