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Garrett Ethan Katz

2 accepted papers

2025

Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning

IJCAI 2025

Reinforcement learning (RL) has demonstrated remarkable success in solving complex decision-making problems, yet its adoption in critical domains is hindered by the lack of interpretability in its decision-making processes. Existing explainable AI (xAI) approaches often fail to provide meaningful ex

Cited by 0SourcePDFScholar
2024

On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors

ICML 2024poster

Known learning rules tend to fall near one of two extremes: single-pass associative learning with low complexity and capacity, and multi-pass iterative learning with high complexity and capacity. In this work we investigate the mathematical feasibility of learning rules that are both single-pass and…

Cited by 0SourcePDFScholar