Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
State-of-the-art molecular dynamics (MD) simulations generate massive datasets involving billion-vertex chemical bond networks, which makes data mining based on graph algorithms s...
Cheng Zhang, Bhupesh Bansal, Paulo S. Branicio, Ra...
We study rerouting policies in a dynamic round-based variant of a well known game theoretic traffic model due to Wardrop. Previous analyses (mostly in the context of selfish routi...
For the last few years, large Web content providers interested in improving their scalability and availability have increasingly turned to three techniques: mirroring, content dis...
In this paper, we present a scalable fully distributed version of a Mobile Backbone Network Topology Synthesis Algorithm (MBN-TSA) for constructing and maintaining a dynamic backb...