Titlebook: Computational Intelligence in Games; Norio Baba,Lakhmi C. Jain Book 2001 Springer-Verlag Berlin Heidelberg 2001 algorithms.computational i

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書目名稱Computational Intelligence in Games影響因子(影響力)




書目名稱Computational Intelligence in Games影響因子(影響力)學科排名




書目名稱Computational Intelligence in Games網(wǎng)絡(luò)公開度




書目名稱Computational Intelligence in Games網(wǎng)絡(luò)公開度學科排名




書目名稱Computational Intelligence in Games被引頻次




書目名稱Computational Intelligence in Games被引頻次學科排名




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書目名稱Computational Intelligence in Games年度引用學科排名




書目名稱Computational Intelligence in Games讀者反饋




書目名稱Computational Intelligence in Games讀者反饋學科排名

蛛絲

Adam Sobanski Dr.,Jens Hollmanntise in the form of features that are believed to be important to playing well. In particular, we have focused on the use of a population of neural networks, where each network serves as an evaluation function to describe the quality of the current board position. After only a little more than 800 g

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lattice

Jens Hollmann,Adam Sobanski Dr.at make position evaluation extremely difficult. Development of conventional Go programs is hampered by their knowledge-intensive nature. We demonstrate a viable alternative by training neural networks to evaluate Go positions via temporal difference (TD) learning.

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Acquired

https://doi.org/10.1007/978-3-8349-8591-0markets (e.g., five markets). Our market selection game is a non-cooperative repeated game where every player is supposed to simultaneously choose a single market for maximizing its own payoff obtained by selling its product at the selected market. It is assumed that the market price of the product

Acquired

Norio Baba,Lakhmi C. JainPresentation of state-of-the-art concepts and most recent research on the application of computational intelligence techniques in games.Including a new approach of evolving a neural network to play ch

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