A Seed Scheduling Method With a Reinforcement Learning for a Coverage Guided Fuzzing.
Gyeongtaek ChoiSeungho JeonJaeik ChoJongsub MoonPublished in: IEEE Access (2023)
Keyphrases
- high accuracy
- fully automatic
- high precision
- reinforcement learning
- experimental evaluation
- cost function
- machine learning
- convergence rate
- detection method
- significant improvement
- prior knowledge
- computational cost
- preprocessing
- synthetic data
- multiscale
- learning algorithm
- dynamic programming
- mobile robot
- feature set
- input data
- clustering method
- multi agent
- segmentation method
- neural network