The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
Abstract—Internet topology plays a vital role in studying network’s internal structure and properties. Currently traceroutebased topology discovery is the main approach to map ...
—In this paper, we formulate an optimization problem for the design of light-tree based logical topology in Wavelength Division Multiplexing (WDM) networks. The problem is compri...
Abstract. We present a logic-based framework to evaluate the resilience of computer networks in the face of incidents, i.e., attacks from malicious intruders as well as random faul...