Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games von Chasparis, Georgios C.

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Corrections to "Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games" [Nov 19 4454-4469] von Chasparis, Georgios C.

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Feature and model selection for day-ahead electricity-load forecasting in residential buildings von Kychkin, Aleksey V., Chasparis, Georgios C.

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Generalized online transfer learning for climate control in residential buildings von Grubinger, Thomas, Chasparis, Georgios C., Natschläger, Thomas

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Supervisory output prediction for bilinear systems by reinforcement learning von Chasparis, Georgios C, Natschläger, Thomas

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Aspiration Learning in Coordination Games von Chasparis, Georgios C, Arapostathis, Ari, Shamma, Jeff S

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Regression Models for Output Prediction of Thermal Dynamics in Buildings von Chasparis, Georgios C, Natschlaeger, Thomas

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Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning von Chasparis, Georgios C., Rossbory, Michael

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Design and implementation of distributed resource management for time-sensitive applications von Chasparis, Georgios C., Maggio, Martina, Bini, Enrico, Årzén, Karl-Erik

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Network Formation: Neighborhood Structures, Establishment Costs, and Distributed Learning von Chasparis, Georgios C., Shamma, Jeff S.

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AVUBDI: A Versatile Usable Big Data Infrastructure and Its Monitoring Approaches for Process Industry von Luftensteiner, Sabrina, Mayr, Michael, Chasparis, Georgios C., Pichler, Mario

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A cooperative demand-response framework for day-ahead optimization in battery pools von Chasparis, Georgios C., Pichler, Mario, Spreitzhofer, Johanna, Esterl, Tara

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Nonconvergence to saddle boundary points under perturbed reinforcement learning von Chasparis, Georgios C., Shamma, Jeff S., Rantzer, Anders

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Measurement-based efficient resource allocation with demand-side adjustments von Chasparis, Georgios C.

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Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination and Network Formation von Chasparis, Georgios C., Shamma, Jeff S.

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Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance von Abbas, Ammar N., Chasparis, Georgios C., Kelleher, John D.

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Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes von Mayr, Michael, Luftensteiner, Sabrina, Chasparis, Georgios C.

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Gathering Expert Knowledge in Process Industry von Luftensteiner, Sabrina, Chasparis, Georgios C., Mayr, Michael

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Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes von Chasparis, Georgios C., Luftensteiner, Sabrina, Mayr, Michael

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PAS - A Feature Selection Process Definition for Industrial Settings von Luftensteiner, Sabrina, Chasparis, Georgios C., Küng, Josef

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