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...
Abstract. The TransLucid programming language is a low-level intensional language, designed to be sufficiently rich for it to be the target language for translating the common prog...
Abstract. Loops are an important source of optimization. In this paper, we address such optimizations for those cases when loops contain kernels mapped on reconfigurable fabric. We...
Ozana Silvia Dragomir, Elena Moscu Panainte, Koen ...
Evaluating and enforcing policies in large-scale networks is one of the most challenging and significant problems facing the network security community today. Current solutions ar...
This paper describes a Genetic Algorithms approach to a manpower-scheduling problem arising at a major UK hospital. Although Genetic Algorithms have been successfully used for sim...