3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Targets in Reinforcement Learning to solve Stackelberg Security Games
Saptarashmi Bandyopadhyay, Chenqi Zhu, Philip Daniel +3
Reinforcement Learning (RL) algorithms have been successfully applied to real world situations like illegal smuggling, poaching, deforestation, climate change, airport security, et…
cs.LG2021★ 3 cited
Counterfactual Explanations for Machine Learning: Challenges Revisited
Sahil Verma, John Dickerson, Keegan Hines
Counterfactual explanations (CFEs) are an emerging technique under the umbrella of interpretability of machine learning (ML) models. They provide ``what if'' feedback of the form `…