d Abstract) Thibault Kruse, Alexandra Kirsch, E. Akin Sisbot, Rachid Alami A robot moving in the presence of humans is highly constrained by the dynamic environment and the need t...
Thibault Kruse, Alexandra Kirsch, Emrah Akin Sisbo...
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
Access to data crucial to research is often slow and difficult. When research problems cross disciplinary boundaries, problems are exacerbated. This paper argues that it is import...
Stefanie Kethers, Xiaobin Shen, Andrew E. Treloar,...
Background: In many approaches to the inference and modeling of regulatory interactions using microarray data, the expression of the gene coding for the transcription factor is co...
Strong Cyclic Planning aims at generating iterative plans that only allow loops so far as there is a chance to reach the goal. The problem is already significantly complex for ful...
Piergiorgio Bertoli, Alessandro Cimatti, Marco Pis...