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Association Rule Mining for Unknown Video Games, , и . Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications, (октября 2020)Introducing the Hearthstone-AI Competition, и . arXiv:1906.04238, (мая 2019)Predicting Opponent Moves for Improving Hearthstone AI, , , и . 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2018, стр. 621--632. (2018)Artificial Intelligence for Audiences, , , , , , , и . Human-Game AI Interaction (Dagstuhl Seminar 22251), 12 (6): 50-54 (января 2023)TAG: A Tabletop Games Framework., , , , и . AIIDE Workshops, том 2862 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing., , , , и . CoG, стр. 1-8. IEEE, (2021)Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning, , , , , , и . Proceedings of the IEEE Conference on Games 2024, стр. 1-8. (2024)Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning., , , , , , и . CoG, стр. 1-8. IEEE, (2024)Strategy Game-Playing with Size-Constrained State Abstraction., , и . CoRR, (2024)Prediction-based search for autonomous game-playing. University of Halle, Germany, (2020)base-search.net (ftuhalleopendata:oai:opendata.uni-halle.de:1981185920/34209).