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Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-Agent Systems.

S. Kapetanakis, and D. Kudenko. AAMAS, page 1258-1259. IEEE Computer Society, (2004)

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Dr. -Ing. Daniel Holder University of Stuttgart

Optimisation Approach for the Convergence Process of Design and Technology in Automotive DevelopmentF. Reichelt, D. Holder, and T. Maier. Interdisciplinary Practice in Industrial Design : Proceedings of the 14th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, 100, page 109-118. New York, AHFE Open Access, (2023)

Daniel Holder University of Stuttgart

Daniel Sollich University of Stuttgart

Daniel Mezger University of Stuttgart

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

Other publications of authors with the same name

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)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)An Empirical Analysis of Terminological Representation Systems.J. Heinsohn, D. Kudenko, B. Nebel, and H. Profitlich. Artif. Intell., 68 (2): 367-397 (1994)Deep Multi-Agent Reinforcement Learning with Relevance Graphs.A. Malysheva, T. Sung, C. Sohn, D. Kudenko, and A. Shpilman. CoRR, (2018)Tuning an Algorithm Using Design of Experiments.E. Ridge, and D. Kudenko. Experimental Methods for the Analysis of Optimization Algorithms, Springer, (2010)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)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)