Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
This paper addresses the problem of multiagent task allocation in extreme teams. An extreme team is composed by a large number of agents with overlapping functionality operating i...
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs). In this paper, we present a novel and fast 3D segment...
Melih S. Aslan, Asem M. Ali, Ham M. Rara, Ben Arno...
Cooperative frameworks for intrusion detection and response exemplify a key area of today’s computer research: automating defenses against malicious attacks that increasingly ar...
— This paper provides an initial look at how support for advance reservations affects the complexity of the path selection process in networks. Advance reservations are likely to...