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, , , , , , , , , and . Artificial and Computational Intelligence in Games, volume 6 of Dagstuhl Follow-Ups, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2013)

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Designing Crushers With A Multi-objective Evolutionary Algorithm., , and . GECCO, page 995-1002. Morgan Kaufmann, (2002)Multiple Opponent Optimization of Prisoner's Dilemma Playing Agents., , and . IEEE Trans. Comput. Intellig. and AI in Games, 7 (1): 53-65 (2015)Evolving Players for an Ancient Game: Hnefatafl.. CIG, page 168-174. IEEE, (2007)Evolving group strategies for IPD.. IEEE Congress on Evolutionary Computation, page 1-7. IEEE, (2010)Designing comminution circuits with a multi-objective evolutionary algorithm., , , , , and . Congress on Evolutionary Computation, page 1815-1822. IEEE, (2005)Heuristics for optimizing the calculation of hypervolume for multi-objective optimization problems., , , and . Congress on Evolutionary Computation, page 2225-2232. IEEE, (2005)Evaluating coevolution on a multimodal problem., , , and . GECCO (Companion), page 1469-1470. ACM, (2012)Using the Cosine Measure in a Neural Network for Document., and . SIGIR, page 202-210. ACM, (1991)Discounted Reinforcement Learning Does Not Scale., and . Computational Intelligence, 13 (1): 126--143 (1997)Experiments with Monte Carlo Othello., and . IEEE Congress on Evolutionary Computation, page 4059-4064. IEEE, (2007)