SOTAVerified

Game of Go

Go is an abstract strategy board game for two players, in which the aim is to surround more territory than the opponent. The task is to train an agent to play the game and be superior to other players.

Papers

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Showing 51–62 of 62 papers

TitleStatusHype
Can Machine Generate Traditional Chinese Poetry? A Feigenbaum Test—0
Comparing Knowledge-based Reinforcement Learning to Neural Networks in a Strategy Game—0
Deep Network Guided Proof Search—0
Deep Reinforcement Learning for 5*5 Multiplayer Go—0
Designing Game of Theorems—0
Explaining How a Neural Network Play the Go Game and Let People Learn—0
First-spike based visual categorization using reward-modulated STDP—0
FML-based Prediction Agent and Its Application to Game of Go—0
Functions that Emerge through End-to-End Reinforcement Learning - The Direction for Artificial General Intelligence -—0
Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning—0
Human vs. Computer Go: Review and Prospect—0
Learning and Planning in Complex Action Spaces—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AlphaGo ZeroELO Rating5,185—Unverified