Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
—We consider resource allocation for distributed streaming applications running in a grid environment, where continuously streaming data needs to be aggregated and processed to p...
Abstract. Allowing read operations to return stale data with low probability has been proposed as a means to increase availability in quorums systems. Existing solutions that allow...
Abstract—We develop and evaluate a new method for estimating and optimizing various performance metrics for multihop wireless networks, including MANETs. We introduce an approxim...
John S. Baras, Vahid Tabatabaee, George Papageorgi...