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Mark Hoogendoorn
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Publications
- 2024
- [j37]Floris den Hengst, Martijn Otten, Paul W. G. Elbers, Frank van Harmelen, Vincent François-Lavet, Mark Hoogendoorn:
Guideline-informed reinforcement learning for mechanical ventilation in critical care. Artif. Intell. Medicine 147: 102742 (2024) - 2023
- [c125]Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn:
Improving Generalization in Reinforcement Learning Through Forked Agents. IEA/AIE (2) 2023: 249-260 - [c124]Jacob E. Kooi, Mark Hoogendoorn, Vincent François-Lavet:
Disentangled (Un)Controllable Features. SSCI 2023: 695-702 - 2022
- [j33]Floris den Hengst, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen:
Planning for potential: efficient safe reinforcement learning. Mach. Learn. 111(6): 2255-2274 (2022) - [c117]Floris den Hengst, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen:
Reinforcement Learning with Option Machines. IJCAI 2022: 2909-2915 - [c116]Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn:
Improving generalization to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents. WI/IAT 2022: 166-173 - [i19]Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn:
Improving adaptability to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents. CoRR abs/2204.06550 (2022) - [i16]Jacob E. Kooi, Mark Hoogendoorn, Vincent François-Lavet:
Disentangled (Un)Controllable Features. CoRR abs/2211.00086 (2022) - [i15]Olivier Moulin, Vincent François-Lavet, Mark Hoogendoorn:
Improving generalization in reinforcement learning through forked agents. CoRR abs/2212.06451 (2022)
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last updated on 2024-04-16 20:33 CEST by the dblp team
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