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 51–62 of 62 papers

TitleStatusHype
Pressure Predictions of Turbine Blades with Deep Learning—0
Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations—0
Selecting Computations: Theory and Applications—0
Learning and Planning in Complex Action SpacesCode0
The Computational Limits of Deep LearningCode0
Monte Carlo Tree Search with Boltzmann ExplorationCode0
ELF OpenGo: An Analysis and Open Reimplementation of AlphaZeroCode0
FML-based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of GoCode0
Better Computer Go Player with Neural Network and Long-term PredictionCode0
Conservative Optimistic Policy Optimization via Multiple Importance SamplingCode0
Derived metrics for the game of Go -- intrinsic network strength assessment and cheat-detectionCode0
Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in GamesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AlphaGo ZeroELO Rating5,185—Unverified