Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, the output of each MapReduce task and job is materialized to ...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
d abstract) Christel Baiera, Joost-Pieter Katoenb;c and Holger Hermannsc aLehrstuhl fur Praktische Informatik II, University of Mannheim 68131 Mannheim, Germany bLehrstuhl fur Info...
Abstract. Real-time systems usually encompass parts that are best described by a continuous-time model, such as physical processes under control, together with other components tha...
Abstract. The enriched effect calculus is an extension of Moggi's computational metalanguage with a selection of primitives from linear logic. In this paper, we present an ext...