Hybrid Attribution-Based Interpretable Deep Reinforcement Learning for Autonomous Driving Behavior Decision-Making
With the increasing deployment of autonomous driving systems, the opaque nature of deep reinforcement learning (DRL) decision models hinders understanding and validation of driving decisions. To address this challenge, we propose a Hybrid Attribution-based Interpretable Deep Reinforcement Learning f...
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| Автори: | , , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2026-03-01
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| Серія: | Applied Sciences |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2076-3417/16/6/3096 |
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