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...
Abstract Location awareness can help facilitate a rendezvous of two or more persons. To further enhance the rendezvous experience, we conducted two complementary field studies to ...
Abstract. In this paper we consider ν-MSR, a formalism that combines the two main existing approaches for multiset rewriting, namely MSR and CMRS. In ν-MSR we rewrite multisets o...
Over the past two decades, Scheme macros have evolved into a powerful API for the compiler front-end. Like Lisp macros, their predecessors, Scheme macros expand source programs in...
Abstract. In this paper, we extend the SHIFT-AND approach by BaezaYates and Gonnet (CACM 35(10), 1992) to the matching problem for network expressions, which are regular expression...