We study observation-based strategies for partially-observable Markov decision processes (POMDPs) with parity objectives. An observationbased strategy relies on partial information...
Krishnendu Chatterjee, Laurent Doyen, Thomas A. He...
We present two new algorithms for finding optimal strategies for discounted, infinite-horizon, Deterministic Markov Decision Processes (DMDP). The first one is an adaptation of...
— Uncertain data is quite common nowadays in a variety of modern database applications. At the same time, the join operation is one of the most important but expensive operations...
: This paper studies the asymptotic behavior of the steady-state waiting time, W∞, of the M/G/1 queue with subexponenential processing times for different combinations of traffi...
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...