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EA2: The Winning Strategy for the Inaugural Lemonade Stand Game Tournament.

, , , and . ECAI, volume 215 of Frontiers in Artificial Intelligence and Applications, page 209-214. IOS Press, (2010)

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Adaptive Sensor Placement for Continuous Spaces., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2385-2393. PMLR, (2019)Efficiently detecting switches against non-stationary opponents., , , , and . Auton. Agents Multi Agent Syst., 31 (4): 767-789 (2017)Differential evolution strategies for large-scale energy resource management in smart grids., , , , and . GECCO (Companion), page 1279-1286. ACM, (2017)Compatible features for Monotonic Policy Improvement., , , and . CoRR, (2019)Transfer Learning for continuous State and Action Spaces., , and . Int. J. Pattern Recognit. Artif. Intell., (2014)Reinforcement learning in extensive form games with incomplete information: the bargaining case study., , and . AAMAS, page 46. IFAAMAS, (2007)Electrical Load Pattern Shape Clustering Using Ant Colony Optimization., , , and . EvoApplications (1), volume 9597 of Lecture Notes in Computer Science, page 491-506. Springer, (2016)Transfer learning by prototype generation in continuous spaces., , and . Adapt. Behav., 24 (6): 464-478 (2016)A framework for learning and planning against switching strategies in repeated games., , and . Connect. Sci., 26 (2): 103-122 (2014)A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract)., , , , and . AAMAS, page 1315-1316. ACM, (2016)