We want to mimic a DRL policy using a set of smaller linear models to increase interpretability.To accomplish this, we learn to partiton the state space into Voronoi cells based on the capability of those models to operate in such region
Deproost, S & Nowe, A 2025, 'Voronoi State Partitioning for Linear Reinforcement Learning Policies', Belgium-Netherlands Workshop on Reinforcement Learning 2025, Eindhoven, Netherlands, 4/07/25 - 4/07/25.
Deproost, S., & Nowe, A. (2025). Voronoi State Partitioning for Linear Reinforcement Learning Policies. Poster session presented at Belgium-Netherlands Workshop on Reinforcement Learning 2025, Eindhoven, Netherlands.
@conference{5cf8de268eca44069b22bd02c7b12eed,
title = "Voronoi State Partitioning for Linear Reinforcement Learning Policies",
abstract = "We want to mimic a DRL policy using a set of smaller linear models to increase interpretability.To accomplish this, we learn to partiton the state space into Voronoi cells based on the capability of those models to operate in such region",
keywords = "Voronoi, explainable AI (XAI), Deep Reinforcement Learning",
author = "Senne Deproost and Ann Nowe",
year = "2025",
month = jul,
day = "4",
language = "English",
note = "Belgium-Netherlands Workshop on Reinforcement Learning 2025, BeNeRL 2025 ; Conference date: 04-07-2025 Through 04-07-2025",
url = "https://www.benerl.org/workshop/2025-eindhoven",
}