We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
Current IT application domains such as web services and autonomic computing call for highly flexible systems, able to automatically adapt to changing operational environments as w...
Loris Penserini, Anna Perini, Angelo Susi, John My...
In many domains, we are interested in analyzing the structure of the underlying distribution, e.g., whether one variable is a direct parent of the other. Bayesian model selection a...
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
d Abstract) Piyoosh Mukhija IIIT Hyderabad Rahul Sawhney IIIT Hyderabad K Madhava Krishna IIIT Hyderabad We present an algorithm for multi robotic exploration of an unknown terrai...
Piyoosh Mukhija, Rahul Sawhney, K. Madhava Krishna