2 papers
cs.AI2025
Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering
Liang Zhang, Justin Lieffers, Adarsh Pyarelal
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…
cs.HC2024
An Overview + Detail Layout for Visualizing Compound Graphs
Chang Han, Justin Lieffers, Clayton Morrison +1
Compound graphs are networks in which vertices can be grouped into larger subsets, with these subsets capable of further grouping, resulting in a nesting that can be many levels de…