Titlebook: Computer Games; 5th Workshop on Comp Tristan Cazenave,Mark H.M. Winands,Julian Togelius Conference proceedings 2017 Springer International

emanate

書目名稱Computer Games影響因子(影響力)




書目名稱Computer Games影響因子(影響力)學科排名




書目名稱Computer Games網(wǎng)絡公開度




書目名稱Computer Games網(wǎng)絡公開度學科排名




書目名稱Computer Games被引頻次




書目名稱Computer Games被引頻次學科排名




書目名稱Computer Games年度引用




書目名稱Computer Games年度引用學科排名




書目名稱Computer Games讀者反饋




書目名稱Computer Games讀者反饋學科排名

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linguistics

Matching Techniques, Algorithms, and Systemsiction system of Latent Factor Ranking (LFR). In this paper, we investigate the problem of integrating feature knowledge learned by FBT model in Monte Carlo Tree Search. We use the open source Go program Fuego as the test platform. Experimental results show that the FBT knowledge is useful in improv

MAL

Matching Evaluations and Datasetsed Rollout Policy Adaptation (NRPA) is an MCTS variant that has found record-breaking solutions for puzzles and optimization problems. It learns a playout policy online that dynamically adapts the playouts to the problem at hand. We propose to enhance NRPA using more selectivity in the playouts. The

難理解

難理解

Matching Techniques, Algorithms, and Systemstari 2600. We consider four models of neural networks which differ in size and architecture: two networks which use only information contained in the RAM and two mixed networks which use both information in the RAM and information from the screen..As the benchmark we used the convolutional model pro

mendacity

https://doi.org/10.1007/978-981-19-8645-1understanding of which aspects of game states influence game-play. This paper presents a clustering and locally weighted regression method for modeling and imitating individual players. The algorithm first learns a generic player cluster model that is updated online to capture an individual’s game-p

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