Abstract: Multi-robot planning and coordination in uncertain environments is a fundamental computational challenge, since the belief space increases exponentially with the number of robots. In this ...
DynPen: Automated Penetration Testing in Dynamic Network Scenarios Using Deep Reinforcement Learning
Abstract: Penetration testing, a crucial industrial practice for securing networked systems and infrastructures, has traditionally depended on the extensive expertise of human professionals.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results