Einstein consistency of fuzzy preference relations von Runkler, Thomas A.

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Particle swarm optimization for generating interpretable fuzzy reinforcement learning policies von Hein, Daniel, Hentschel, Alexander, Runkler, Thomas, Udluft, Steffen

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Data Analytics: Models and Algorithms for Intelligent Data Analysis von Runkler, Thomas A

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PrefMap: Visualization of fuzzy pairwise preference structures von Runkler, Thomas A.

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Interpretable policies for reinforcement learning by genetic programming von Hein, Daniel, Udluft, Steffen, Runkler, Thomas A.

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Two cooperative ant colonies for feature selection using fuzzy models von Vieira, Susana M., Sousa, João M.C., Runkler, Thomas A.

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Reinforcement Learning with Particle Swarm Optimization Policy (PSO-P) in Continuous State and Action Spaces von Hein, Daniel, Hentschel, Alexander, Runkler, Thomas A, Udluft, Steffen

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Ant colony optimization of clustering models von Runkler, Thomas A.

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Explanation of Action Plans Through Ontologies von Gocev, Ivan, Grimm, Stephan, Runkler, Thomas A.

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PIU: risk-sensitive decision making using Pareto optimization of interval utilities induced by fuzzy preference relations von Runkler, Thomas A.

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Wasp swarm optimization of the c-means clustering model von Runkler, Thomas A.

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Overcoming model bias for robust offline deep reinforcement learning von Swazinna, Phillip, Udluft, Steffen, Runkler, Thomas

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Using a Local Discovery Ant Algorithm for Bayesian Network Structure Learning von Pinto, P.C., Nagele, A., Dejori, M., Runkler, T.A., Sousa, J.M.C.

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Interval type-2 fuzzy decision making von Runkler, Thomas, Coupland, Simon, John, Robert

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Type reduction operators for interval type–2 defuzzification von Runkler, Thomas A., Chen, Chao, John, Robert

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Towards Semantic Management of On-Device Applications in Industrial IoT von Ren, Haoyu, Anicic, Darko, Runkler, Thomas A.

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A metaheuristic approach for mining gradual patterns von Owuor, Dickson Odhiambo, Runkler, Thomas, Laurent, Anne

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Data Mining: Modelle und Algorithmen intelligenter Datenanalyse von Runkler, Thomas A.

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Bayesian decomposition of multi-modal dynamical systems for reinforcement learning von Kaiser, Markus, Otte, Clemens, Runkler, Thomas A., Ek, Carl Henrik

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On-device Online Learning and Semantic Management of TinyML Systems von Ren, Haoyu, Anicic, Darko, Li, Xue, Runkler, Thomas

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