Machine learning models are increasingly used in practice. However, many...
Active learning is a practical field of machine learning that automates ...
Reinforcement learning (RL) operating on attack graphs leveraging cyber
...
Engineering methods are centered around traditional notions of decomposi...
Transfer learning, multi-task learning, and meta-learning are well-studi...
This paper considers key challenges to using reinforcement learning (RL)...
This paper demonstrates the systematic use of combinatorial coverage for...
Reinforcement learning (RL), in conjunction with attack graphs and cyber...
The solution methods used to realize artificial general intelligence (AG...
Cyber attacks pose existential threats to nations and enterprises. Curre...
Reinforcement learning (RL) has been applied to attack graphs for penetr...
Existing frameworks for transfer learning are incomplete from a systems
...
Classical machine learning approaches are sensitive to non-stationarity....