2 papers
cs.AI2026
Textual Explanations and Their Evaluations for Reinforcement Learning Policy
Ahmad Terra, Mohit Ahmed, Rafia Inam +2
Understanding a Reinforcement Learning (RL) policy is crucial for ensuring that autonomous agents behave according to human expectations. This goal can be achieved using Explainabl…
cs.LG2025
Explainable Reinforcement Learning via Temporal Policy Decomposition
Franco Ruggeri, Alessio Russo, Rafia Inam +1
We investigate the explainability of Reinforcement Learning (RL) policies from a temporal perspective, focusing on the sequence of future outcomes associated with individual action…