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A Local Approach to Forward Model Learning: Results on the Game of Life Game., , , , , , , , и . CoG, стр. 1-8. IEEE, (2019)Evolving Game-Specific UCB Alternatives for General Video Game Playing., , , и . EvoApplications (1), том 10199 из Lecture Notes in Computer Science, стр. 393-406. (2017)Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor., , , и . CoG, стр. 1-8. IEEE, (2019)Learning Local Forward Models on Unforgiving Games, , , , , и . 2019 IEEE Conference on Games (CoG), (августа 2019)Game AI hyperparameter tuning in rinascimento., , и . GECCO (Companion), стр. 1742-1746. ACM, (2019)A Local Approach to Forward Model Learning: Results on the Game of Life Game, , , , , , , и . 2019 IEEE Conference on Games (CoG), стр. 1--8. (августа 2019)Rinascimento: using event-value functions for playing Splendor., и . CoG, стр. 283-290. IEEE, (2020)Learning Local Forward Models on Unforgiving Games., , , , , и . CoG, стр. 1-4. IEEE, (2019)Rinascimento: searching the behaviour space of Splendor., и . CoRR, (2021)