Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
Collecting and exploring monitoring data is becoming increasingly challenging as networks become larger and faster. Solutions based on both SQL-databases and specialized binary for...
— By monitoring the exchanged IPsec traffic an adversary can usually easily discover the layout of virtual private networks (VPNs). Of even worse extend is the disclosure if com...
Michael Brinkmeier, Michael Rossberg, Guenter Scha...
Design of accessible applications is often a challenge for software architects and developers. Development usually starts with structure and functionality of the planned applicati...