In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
This paper proposes a method which assists the firms for cooperating in make-to-order production. We especially focus on the operational decision levels of manufacturing companies ...
Emmanuelle Monsarrat, Cyril Briand, Patrick Esquir...
We describe a framework for building intelligent tutoring systems that offer an advanced evaluation of learners' semantic knowledge. The knowledge model makes a pedagogical d...
Philippe Fournier-Viger, Roger Nkambou, Andr&eacut...
We compare the expressive power of Hoare (i.e., CSP style) and Milner (i.e., CCS style) synchronizations for defining graph transformations in a framework where edges can perform ...
We present a rigorous framework that defines a class of net weighting schemes in which unconstrained minimization is successively performed on a weighted objective. We show that, ...