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TAG: A Tabletop Games Framework.

, , , , and . AIIDE Workshops, volume 2862 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)

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The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition., , , , , , , and . CoRR, (2019)VERTIGØ: Visualisation of Rolling Horizon Evolutionary Algorithms in GVGAI., , and . AIIDE, page 265-267. AAAI Press, (2018)Automatic game tuning for strategic diversity., , , and . CEEC, page 195-200. IEEE, (2017)Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best., , , , , , and . CoRR, (2019)Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods., , and . AAAI, page 1691-1698. AAAI Press, (2019)A Local Approach to Forward Model Learning: Results on the Game of Life Game., , , , , , , , and . CoG, page 1-8. IEEE, (2019)Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing., , , , and . CoG, page 367-374. IEEE, (2020)Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game., , , , and . EvoApplications, volume 12104 of Lecture Notes in Computer Science, page 403-418. Springer, (2020)General Video Game for 2 players: Framework and competition., , and . CEEC, page 186-191. IEEE, (2016)Learning Local Forward Models on Unforgiving Games., , , , , and . CoG, page 1-4. IEEE, (2019)