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Artificial Intelligence for Audiences, , , , , , , and . Human-Game AI Interaction (Dagstuhl Seminar 22251), 12 (6): 50-54 (January 2023)Introducing the Hearthstone-AI Competition, and . arXiv:1906.04238, (May 2019)Predicting Opponent Moves for Improving Hearthstone AI, , , and . 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2018, page 621--632. (2018)Association Rule Mining for Unknown Video Games, , and . Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications, (October 2020)TAG: A Tabletop Games Framework., , , , and . AIIDE Workshops, volume 2862 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing., , , , and . CoG, page 1-8. IEEE, (2021)Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning, , , , , , and . Proceedings of the IEEE Conference on Games 2024, page 1-8. (2024)Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning., , , , , , and . CoG, page 1-8. IEEE, (2024)Strategy Game-Playing with Size-Constrained State Abstraction., , and . 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).