Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
In this paper, we present a series of programming projects based on the Linux kernel for students in a senior-level undergraduate operating systems course. The projects we describ...
This paper presents how the DUP System, a straightforward POSIX-compatible framework that enables programminglanguage-agnostic parallel and distributed stream processing, can be u...
Nathan S. Evans, Chris GauthierDickey, Christian G...
—The concept of p-cycle (preconfigured protection cycle) allows fast and efficient span protection in wavelength division multiplexing (WDM) mesh networks. To design p-cycles f...
In this paper, we present various extensions of Isabelle/HOL by theories that are essential for several formal methods. First, we explain how we have developed an Isabelle/HOL theo...