Class-Aware Reinforcement Learning for Counterfactual Explanation Generation

Counterfactual explanations (CFEs) enhance the interpretability of black-box models by generating alternative instances with adjusted feature values that achieve a contrastive outcome. Reinforcement learning (RL) offers a promising approach for CFE generation, enabling efficient exploration of counterfactual instances while ensuring control over key metrics like validity, sparsity, and proximity.

Summary generated by The Flow from the publisher's feed. The full article lives at Hugging Face Trending Papers.

• reinforcement-learning
• efficiency
• safety