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Updated: Aug 19, 2025

New Variations for Strategy Set-shifting in the Rat
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モデルフリーマルチエージェント強化学習でストラテゴをマスターする

Julien Perolat1, Bart De Vylder1, Daniel Hennes1

  • 1DeepMind Technologies Ltd., London, UK.

Science (New York, N.Y.)
|December 1, 2022
PubMed
まとめ

私たちはDeepNashを開発しました ストラテゴの複雑なゲームをマスターする 人工知能 (AI) エージェントです このAIはStrategoで人間のエキスパートレベルを 達成します 複雑な不完全な情報ゲームで ディープ・インフォースメント・ラーニングを使います

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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