R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
While network-level multicast has tremendous potential for increasing the efficiency of group-oriented applications, the adoption of network-level multicast has been tepid at best....
Areas of the brain involved in various forms of memory exhibit patterns of neural activity quite unlike those in canonical computational models. We show how to use well-founded Ba...
This paper presents an application distributed simulation to the evaluation of virtual enterprises. Each company or candidate can use a simulation of its facilities to determine i...
Jayendran Venkateswaran, Mohammed Yaseen Kalachika...
An interactive tool has been developed for visualizing and creating scaled battlefield based scenarios for use in a simulation testbed to develop and test distributed data fusion ...