2 papers
cs.LG2026
Smart Exploration in Reinforcement Learning using Bounded Uncertainty Models
J. S. van Hulst, W. P. M. H. Heemels, D. J. Antunes
Reinforcement learning (RL) is a powerful framework for decision-making in uncertain environments, but it often requires large amounts of data to learn an optimal policy. We addres…
eess.SY2024
Data-Efficient Quadratic Q-Learning Using LMIs
J. S. van Hulst, W. P. M. H. Heemels, D. J. Antunes
Reinforcement learning (RL) has seen significant research and application results but often requires large amounts of training data. This paper proposes two data-efficient off-poli…