Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Abstract. Inconsistent contexts are death-wounds which usually result in contextaware applications' incongruous behaviors and users' perplexed feelings, therefore the ben...
Yingyi Bu, Shaxun Chen, Jun Li, XianPing Tao, Jian...
Distributed Denial of Service (DDoS) attacks exploit the acute imbalance between client and server workloads to cause devastation to the service providers. We propose a distribute...
David Mankins, Rajesh Krishnan, Ceilyn Boyd, John ...
Abstract. We consider the problem of refinement checking for asynchronous processes where refinement corresponds to stutter-closed language inclusion. Since an efficient algorithmi...