Requirements elicitation for a software system is a key stage in a successful development. At the same time, it is one of the most challenging, because requirements have to conside...
The challenge we address is to reason about projected resource usage within a hierarchical task execution framework in order to improve agent effectiveness. Specifically, we seek ...
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
The large amount of information now available on the Web can play a prominent role in building a cooperative intelligent distance learning environment. We propose a system to prov...
Mohammed Abdel Razek, Claude Frasson, Marc Kaltenb...