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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 31–40 of 62 papers

TitleStatusHype
Playing Go without Game Tree Search Using Convolutional Neural Networks—0
Designing Game of Theorems—0
MoËT: Mixture of Expert Trees and its Application to Verifiable Reinforcement LearningCode1
Building a Computer Mahjong Player via Deep Convolutional Neural Networks—0
Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning—0
Hyper-Parameter Sweep on AlphaZero GeneralCode1
Accelerating Self-Play Learning in GoCode2
ELF OpenGo: An Analysis and Open Reimplementation of AlphaZeroCode0
A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go—0
Comparing Knowledge-based Reinforcement Learning to Neural Networks in a Strategy Game—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AlphaGo ZeroELO Rating5,185—Unverified