Hector Kohler

According to our database, Hector Kohler authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning.

Hector Kohler, Quentin Delfosse, Riad Akrour, Kristian Kersting, Philippe Preux

CoRR, 2024

PID Tuning using Cross-Entropy Deep Learning: a Lyapunov Stability Analysis.

Hector Kohler, Benoit Clement, Thomas Chaffre, Gilles Le Chenadec

CoRR, 2024

Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop.

Hector Kohler, Quentin Delfosse, Paul Festor, Philippe Preux

CoRR, 2024

2023

Discovering the Interpretability-Performance Pareto Front of Decision Trees with Dynamic Programming.

Hector Kohler, Riad Akrour, Philippe Preux

CoRR, 2023

AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents.

Timothée Mathieu, Riccardo Della Vecchia, Alena Shilova, Matheus Centa de Medeiros, Hector Kohler, Odalric-Ambrym Maillard, Philippe Preux

CoRR, 2023

Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning.

Hector Kohler, Riad Akrour, Philippe Preux

CoRR, 2023