158 citations · 183 across the 14 of their papers we have counts for
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cs.LG2023★ 158 cited
Explainable Deep Reinforcement Learning: State of the Art and Challenges
George A. Vouros
Interpretability, explainability and transparency are key issues to introducing Artificial Intelligence methods in many critical domains: This is important due to ethical concerns…
cs.LG2023
XDQN: Inherently Interpretable DQN through Mimicking
Andreas Kontogiannis, George Vouros
Although deep reinforcement learning (DRL) methods have been successfully applied in challenging tasks, their application in real-world operational settings is challenged by method…