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(2026) Explainable AI for Reinforcement Learning Based Dynamic Scheduling Solutions in Semiconductor Manufacturing
(2026) Explainable AI for Reinforcement Learning Based Dynamic Scheduling Solutions in Semiconductor Manufacturing
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1
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ai-scheduling
,
xai
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Table of Contents
1. 무엇을 설명하려 하는가
2. 정책과 신경망 구조
3. 네 방법의 holistic 조합
3.1 Queue-wise SHAP (feature importance)
3.2 Network Analysis (NN 내부)
3.3 Counterfactual / Sensitivity Analysis
3.4 Decision Tree (strategy) + 휴리스틱 비교
4. 핵심 결과
5. 한계
6. 실 적용·구현 관점에서의 의견 (FAB Machine–Lot 할당 설명 Agent)
참고문헌
Backlinks
(2024) Explainable Reinforcement Learning (XRL): A Systematic Literature Review and Taxonomy
(2023) Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling