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 1–10 of 62 papers

TitleStatusHype
Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations—0
MASTER: A Multi-Agent System with LLM Specialized MCTS—0
Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in GamesCode0
Deep Reinforcement Learning for 5*5 Multiplayer Go—0
Monte Carlo Tree Search with Boltzmann ExplorationCode0
Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors—0
Active Reinforcement Learning for Robust Building ControlCode1
Explaining How a Neural Network Play the Go Game and Let People Learn—0
Vision Transformers for Computer Go—0
AlphaZero Gomoku—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AlphaGo ZeroELO Rating5,185—Unverified