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 26–50 of 62 papers

TitleStatusHype
AlphaZero Gomoku—0
A Popperian Falsification of Artificial Intelligence -- Lighthill Defended—0
Bandit Algorithms for Tree Search—0
Batch Monte Carlo Tree Search—0
Building a Computer Mahjong Player via Deep Convolutional Neural Networks—0
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
Spatial State-Action Features for General Games—0
Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning—0
Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors—0
The cost of passing -- using deep learning AIs to expand our understanding of the ancient game of Go—0
The Go Transformer: Natural Language Modeling for Game Play—0
The ProfessionAl Go annotation datasEt (PAGE)—0
Towards Deep Symbolic Reinforcement Learning—0
Vision Transformers for Computer Go—0
What do we need to build explainable AI systems for the medical domain?—0
MoET: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees—0
Monte Carlo Tree Search with Sampled Information Relaxation Dual Bounds—0
Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning—0
Multi-step Greedy Reinforcement Learning Algorithms—0
Neurohex: A Deep Q-learning Hex Agent—0
PFML-based Semantic BCI Agent for Game of Go Learning and Prediction—0
Playing Go without Game Tree Search Using Convolutional Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AlphaGo ZeroELO Rating5,185—Unverified