Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Aspects that trigger on a sequence of join points instead of on a single join point are not explicitly supported in current AspectOriented approaches. Explicit protocols are howeve...
In multiple criteria Markov Decision Processes (MDP) where multiple costs are incurred at every decision point, current methods solve them by minimising the expected primary cost ...
Abstract. Workflows are operational business processes. Workfow Management Systems (WFMS) are concerned with the control and coordination of these workflows. In recent years, there...
—A common way to model multiclass classification problems is to design a set of binary classifiers and to combine them. Error-Correcting Output Codes (ECOC) represent a successfu...