2025
Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering
NeurIPS 2025poster
In this paper, we explore semantic clustering properties of deep reinforcement learning (DRL) to improve its interpretability and deepen our understanding of its internal semantic organization. In this context, semantic clustering refers to the ability of neural networks to cluster inputs based on t…