About
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.
Benchmarks
Greatest papers with code
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
• gcp/leela-zero
• 
The game of chess is the most widely-studied domain in the history of artificial intelligence.
Ranked #1 on
Game of Go
on ELO Ratings
GAME OF CHESS GAME OF GO GAME OF SHOGI GENERAL REINFORCEMENT LEARNING
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
• werner-duvaud/muzero-general
• 
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.
Ranked #1 on
Atari Games
on Atari 2600 Zaxxon
Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data
ACL 2018
• harsh19/ChessCommentaryGeneration
•
This paper examines the problem of generating natural language descriptions of chess games.
Giraffe: Using Deep Reinforcement Learning to Play Chess
• saikrishna-1996/deep_pepper_chess
•
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.
Playing Chess with Limited Look Ahead
• ArmanMaesumi/LimitedLookAheadChess
•
We have seen numerous machine learning methods tackle the game of chess over the years.