Finding the Relevant Samples for Decision Trees in Reinforcement Learning

Raphael C. Engelhardt1, Moritz Lange2, Laurenz Wiskott2 & Wolfgang Konen1
1 Cologne Institute of Computer Science, TH Köln, Köln, Germany
2 Institute for Neural Computation, Ruhr-University Bochum, Bochum, Germany

Abstract Submitted: 13.04.2023
Accepted: 21.04.2023
Presented at the DataNinja Spring School 2023 Poster Session: 09.05.2023
Published online: 20.06.2023

Licence: Copyright (c) 2023 The Authors

This work is licensed under a Creative Commons Attribution 4.0 International License.

Extended Abstract