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Tic Tac Toe represented by neural network evaluation

By PulseAugur Editorial · [1 sources] ·

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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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Tic Tac Toe represented by neural network evaluation

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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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72 days old
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COVERAGE [1]

  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…

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