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Sutton and Andrew G . Barto . 1998 . Reinforcement Learning : An Introduction. MIT Press . http:\/\/www.cs.ualberta.ca\/~sutton\/book\/the-book.html Richard S. Sutton and Andrew G. Barto. 1998. Reinforcement Learning: An Introduction. MIT Press. http:\/\/www.cs.ualberta.ca\/~sutton\/book\/the-book.html"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276958.1277326"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/s005000100116"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/9.580874"},{"key":"e_1_3_2_2_48_1","volume-title":"Moore","author":"Urbanowicz Ryan J.","year":"2014","unstructured":"Ryan J. Urbanowicz , Gediminas Bertasius , and Jason H . Moore . 2014 . An Extended Michigan-Style Learning Classifier System for Flexible Supervised Learning, Classification , and Data Mining. In Parallel Problem Solving from Nature - PPSN XIII, Thomas Bartz-Beielstein, J\u00fcrgen Branke, Bogdan Filipi\u010d, and Jim Smith (Eds.). Springer International Publishing , Cham, 211--221. Ryan J. Urbanowicz, Gediminas Bertasius, and Jason H. Moore. 2014. An Extended Michigan-Style Learning Classifier System for Flexible Supervised Learning, Classification, and Data Mining. In Parallel Problem Solving from Nature - PPSN XIII, Thomas Bartz-Beielstein, J\u00fcrgen Branke, Bogdan Filipi\u010d, and Jim Smith (Eds.). Springer International Publishing, Cham, 211--221."},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-015-0128-8"},{"key":"e_1_3_2_2_50_1","volume-title":"Grandmaster level in StarCraft II using multi-agent reinforcement learning. 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Oriol Vinyals, Igor Babuschkin, Wojciech M Czarnecki, Micha\u00ebl Mathieu, Andrew Dudzik, Junyoung Chung, David H Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P Agapiou, Max Jaderberg, Alexander S Vezhnevets, R\u00e9mi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom L Paine, Caglar Gulcehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario W\u00fcnsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, and David Silver. 2019. Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nature 575, 7782 (2019), 350--354."},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"crossref","unstructured":"Wenzel Baron Pilar von Pilchau Anthony Stein and J\u00f6rg H\u00e4hner. 2020. 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