David Leeftink
@davidleeftink.bsky.social
PhD student in Machine learning @ Donders Institute Nijmegen | Probabilistic Machine Learning, Control, Reinforcement Learning.
I'd say yes! It allows new ideas to distribute faster, while remaining clear that it is not a reviewed article
October 3, 2025 at 5:20 PM
I'd say yes! It allows new ideas to distribute faster, while remaining clear that it is not a reviewed article
📄 Read the full paper: arxiv.org/abs/2504.02543
💻 Code available on GitHub: github.com/DavidLeeftin...
A huge thank you to everyone who contributed to this work!
#CDC2025 #ReinforcementLearning #OptimalControl #MachineLearning
💻 Code available on GitHub: github.com/DavidLeeftin...
A huge thank you to everyone who contributed to this work!
#CDC2025 #ReinforcementLearning #OptimalControl #MachineLearning
Optimal Control of Probabilistic Dynamics Models via Mean Hamiltonian Minimization
Without exact knowledge of the true system dynamics, optimal control of non-linear continuous-time systems requires careful treatment under epistemic uncertainty. In this work, we translate a probabil...
arxiv.org
September 3, 2025 at 3:00 PM
📄 Read the full paper: arxiv.org/abs/2504.02543
💻 Code available on GitHub: github.com/DavidLeeftin...
A huge thank you to everyone who contributed to this work!
#CDC2025 #ReinforcementLearning #OptimalControl #MachineLearning
💻 Code available on GitHub: github.com/DavidLeeftin...
A huge thank you to everyone who contributed to this work!
#CDC2025 #ReinforcementLearning #OptimalControl #MachineLearning