Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Based on the limitations raised by existing approaches in the context of the Semantic Web, we propose a formalism, Web Sources Global Ontology (WebSOGO), a data meta-model for the...
In this paper we shortly describe the Living Systems Autonomic Business Process Management (LS/ABPM) software product. LS/ABPM is an integrated environment, based on J2EE, Eclipse...
Giovanni Rimassa, Martin E. Kernland, Roberto Ghiz...
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...