4 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 4 cited
GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations
Tobias Huber, Maximilian Demmler, Silvan Mertes +2
Counterfactual explanations are a common tool to explain artificial intelligence models. For Reinforcement Learning (RL) agents, they answer "Why not?" or "What if?" questions by i…
cs.AI2022★ 3 cited
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems
Silvan Mertes, Christina Karle, Tobias Huber +3
Explanation mechanisms from the field of Counterfactual Thinking are a widely-used paradigm for Explainable Artificial Intelligence (XAI), as they follow a natural way of reasoning…