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The Identification of Dynamic Gene-Protein Networks.

R. Westra, G. Hollanders, G. Bex, M. Gyssens, and K. Tuyls. KDECB, volume 4366 of Lecture Notes in Computer Science, page 157-170. Springer, (2006)

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Dipl.-Ing. Karl Kübler

Approach for manufacturer independent automated machine tool control software testK. Kübler, A. Neyrinck, J. Schlechtendahl, A. Lechler, and A. Verl. Progress in production engineering; selected, peer reviewed papers from the 2015 WGP Congress, September 7 - 8, 2015, Hamburg, Germany, 794, page 347-354. Pfaffikon, Trans Tech Publ., (2015)

Philipp Karl University of Stuttgart

Kristian Karlovic

Prof. Dr. Karl Bredereck University of Stuttgart

Karl Grötzinger University of Stuttgart

Other publications of authors with the same name

Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker.M. Ponsen, J. Ramon, T. Croonenborghs, K. Driessens, and K. Tuyls. AAAI, page 1485-1486. AAAI Press, (2008)Self-organizing Synchronicity and Desynchronicity using Reinforcement Learning.M. Mihaylov, Y. Borgne, A. Nowé, and K. Tuyls. ICAART (2), page 94-103. SciTePress, (2011)Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information.K. Tuyls, S. Maes, and B. Manderick. ICMLA, page 226-232. CSREA Press, (2002)Bee-inspired foraging in an embodied swarm.S. Alers, D. Bloembergen, D. Hennes, S. de Jong, M. Kaisers, N. Lemmens, K. Tuyls, and G. Weiss. AAMAS, page 1311-1312. IFAAMAS, (2011)Optimizing complex automated negotiation using sparse pseudo-input gaussian processes.S. Chen, H. Bou-Ammar, K. Tuyls, and G. Weiss. AAMAS, page 707-714. IFAAMAS, (2013)Multi-Agent Target Tracking using Particle Filters enhanced with Context Data: (Demonstration).R. Claessens, A. de Waal, J. de Villiers, A. Penders, G. Pavlin, and K. Tuyls. AAMAS, page 1933-1934. ACM, (2015)Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective.L. Panait, K. Tuyls, and S. Luke. J. Mach. Learn. Res., (2008)Exploring selfish reinforcement learning in repeated games with stochastic rewards.K. Verbeeck, A. Nowé, J. Parent, and K. Tuyls. Autonomous Agents and Multi-Agent Systems, 14 (3): 239-269 (2007)An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games.K. Tuyls, P. Hoen, and B. Vanschoenwinkel. Autonomous Agents and Multi-Agent Systems, 12 (1): 115-153 (2006)Multi robot collision avoidance in a shared workspace.D. Claes, and K. Tuyls. Auton. Robots, 42 (8): 1749-1770 (2018)