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2020 – today
- 2024
[i4]Julian Ruddick, Glenn Ceusters, Gilles Van Kriekinge, Evgenii Genov, Thierry Coosemans, Maarten Messagie:
Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems. CoRR abs/2408.07435 (2024)- 2023
- [i3]Glenn Ceusters, Muhammad Andy Putratama, Rüdiger Franke, Ann Nowé, Maarten Messagie:
Safe reinforcement learning with self-improving hard constraints for multi-energy management systems. CoRR abs/2304.08897 (2023) - 2022
- [i2]Glenn Ceusters, Luis Ramirez Camargo
, Rüdiger Franke, Ann Nowé, Maarten Messagie:
Safe reinforcement learning for multi-energy management systems with known constraint functions. CoRR abs/2207.03830 (2022) - 2021
- [c1]John Joy Kurian, Marcel Dix, Ido Amihai, Glenn Ceusters, Ajinkya Prabhune:
BOAT: A Bayesian Optimization AutoML Time-series Framework for Industrial Applications. BigDataService 2021: 17-24 - [i1]Glenn Ceusters, Román Cantú Rodríguez, Alberte Bouso García, Rüdiger Franke, Geert Deconinck, Lieve Helsen, Ann Nowé, Maarten Messagie, Luis Ramirez Camargo:
Model-predictive control and reinforcement learning in multi-energy system case studies. CoRR abs/2104.09785 (2021)
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