Testing for Fault Diversity in Reinforcement Learning.
Quentin MazouniHelge SpiekerArnaud GotliebMathieu AcherPublished in: AST@ICSE (2024)
Keyphrases
- reinforcement learning
- fault model
- function approximation
- fault diagnosis
- fault injection
- test cases
- state space
- markov decision processes
- information retrieval
- fault detection
- optimal policy
- test data
- temporal difference learning
- multi agent reinforcement learning
- supervised learning
- multi agent
- data mining
- data sets