Titlebook: Computer Games; 7th Workshop, CGW 20 Tristan Cazenave,Abdallah Saffidine,Nathan Sturtev Conference proceedings 2019 Springer Nature Switzer

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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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Reaching and Teaching Marginalized Children, replays show that our model works well on arbitrary matches. MOBA-Slice not only has an accuracy 3.7% higher than DotA Plus Assistant (A subscription service provided by DotA2) at result prediction, but also supports the prediction of the remaining time of a game, and then realizes the evaluation o

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Meera Varadharajan,Sandy Schucksee the effect of such factors on the convergence of DRL. Our results provide a first step in a better understanding of how DRL works and as such will be informative in the future in determining scenarios where DRL can be applied effectively e.g., outside of games.

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Tristan Cazenave,Abdallah Saffidine,Nathan Sturtev

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MOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage Between Teams in MOBA Gamed in these complicated games is large. It is hard for humans and algorithms to evaluate the real-time game situation or predict the game result. In this paper, we introduce ., a time slice based evaluation framework of relative advantage between teams in MOBA games. MOBA-Slice is a quantitative eval

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TextWorld: A Learning Environment for Text-Based Games that handles interactive play-through of text games, as well as backend functions like state tracking and reward assignment. It comes with a curated list of games whose features and challenges we have analyzed. More significantly, it enables users to handcraft or automatically generate new games. I