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Moving Nature-Inspired Algorithms to Parallel, Asynchronous and Decentralised Environments.

E. Ridge, D. Kudenko, D. Kazakov, and E. Curry. SOAS, volume 135 of Frontiers in Artificial Intelligence and Applications, page 35-49. IOS Press, (2005)

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Daniel Holder University of Stuttgart

Daniel Sollich University of Stuttgart

Daniel Mezger University of Stuttgart

Univ. -Prof. Dr. Daniel Hole University of Stuttgart

Daniel Georg University of Stuttgart

Other publications of authors with the same name

Generation of dilemma-based interactive narratives with a changeable story goal.H. Barber, and D. Kudenko. INTETAIN, page 6. ICST/ACM, (2008)Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence.T. Brys, A. Nowé, D. Kudenko, and M. Taylor. AAAI, page 1687-1693. AAAI Press, (2014)Using plan-based reward shaping to learn strategies in StarCraft: Broodwar.K. Efthymiadis, and D. Kudenko. CIG, page 1-8. IEEE, (2013)Interactions Between Stereotypes.Z. Lock, and D. Kudenko. AH, volume 4018 of Lecture Notes in Computer Science, page 172-181. Springer, (2006)An Analysis of Problem Difficulty for a Class of Optimisation Heuristics.E. Ridge, and D. Kudenko. EvoCOP, volume 4446 of Lecture Notes in Computer Science, page 198-209. Springer, (2007)Tuning an Algorithm Using Design of Experiments.E. Ridge, and D. Kudenko. Experimental Methods for the Analysis of Optimization Algorithms, Springer, (2010)Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems.S. Kapetanakis, D. Kudenko, and M. Strens. Adaptive Agents and Multi-Agents Systems, volume 2636 of Lecture Notes in Computer Science, page 18-32. Springer, (2002)Tuning the Performance of the MMAS Heuristic.E. Ridge, and D. Kudenko. SLS, volume 4638 of Lecture Notes in Computer Science, page 46-60. Springer, (2007)Knowledge Revision for Reinforcement Learning with Abstract MDPs.K. Efthymiadis, and D. Kudenko. AAMAS, page 763-770. ACM, (2015)Context-sensitive reward shaping for sparse interaction multi-agent systems.Y. Hauwere, S. Devlin, D. Kudenko, and A. Nowé. Knowledge Eng. Review, 31 (1): 59-76 (2016)