3 citations · 5 across the 4 of their papers we have counts for
3 papers · 1 filter
Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks
Joery A. de Vries, Jinke He, Mathijs M. de Weerdt +1
Meta-reinforcement learning trains a single reinforcement learning agent on a distribution of tasks to quickly generalize to new tasks outside of the training set at test time. Fro…
Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming
Jacobus G. M. van der Linden, Mathijs M. de Weerdt, Emir Demirović
Global optimization of decision trees has shown to be promising in terms of accuracy, size, and consequently human comprehensibility. However, many of the methods used rely on gene…
Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints
Laurens Bliek, Arthur Guijt, Sicco Verwer +1
A challenging problem in both engineering and computer science is that of minimising a function for which we have no mathematical formulation available, that is expensive to evalua…