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Tic Tac Toe represented by neural network evaluation

Tic Tac Toe is presented as the simplest game that can be represented by an Efficiently Updatable Neural Network Evaluation (NNUE). This representation involves a state-grid presentation of a neural network problem, where each game stage gives rise to a parameter vector space that can be expressed in matrix form. AI

IMPACT Demonstrates a simplified approach to representing game states for neural network evaluation.

RANK_REASON The item discusses a novel application of neural networks to a simple game, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

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Tic Tac Toe represented by neural network evaluation

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  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Tic Tac Toe is the simplest game that can be represented by an # NNUE which is a state-grid presentation of a neural network problem. Despite its representation

    Tic Tac Toe is the simplest game that can be represented by an # NNUE which is a state-grid presentation of a neural network problem. Despite its representation simplicity, Tic Tac Toe is dynamic game that is like chess. At each game stage, an NNUE representation of the games giv…