Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning.
Yiran HuangYexu ZhouMichael HefenbrockTill RiedelLikun FangMichael BeiglPublished in: ICONIP (3) (2022)
Keyphrases
- black box
- reinforcement learning
- multi agent
- black boxes
- white box
- decision making
- decision makers
- function approximation
- model free
- hybrid systems
- decision rules
- markov decision processes
- integration testing
- countermeasures
- co occurrence
- state space
- learning capabilities
- rule extraction
- machine learning
- learning tasks
- decision problems
- data sets
- test cases
- optimal policy
- rough sets