Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach.
Amin NikanjamMohammad Mehdi MorovatiFoutse KhomhHoussem Ben BraiekPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- detection accuracy
- object detection
- fault diagnosis
- automatic detection
- neural network
- false alarms
- detection method
- function approximation
- false positives
- reinforcement learning methods
- fault detection
- model based diagnosis
- optimal control
- detection rate
- detection algorithm
- programming language
- multi agent
- knowledge base
- machine learning