Scheduling problems are usually treated within single plant environments or within companies with several production locations. Due to the globalization of markets companies can no...
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...
: Clinical guidelines reuse existing clinical procedural knowledge while leaving room for flexibility by the care provider applying that knowledge. Guidelines can be viewed as gene...
Abstract— The need for efficient monitoring of spatiotemporal dynamics in large environmental surveillance applications motivates the use of robotic sensors to achieve sufficie...
Amarjeet Singh 0003, Fabio Ramos, Hugh D. Whyte, W...
This paper presents MADeM, a multi-modal agent decision making to provide virtual agents with socially acceptable decisions. We consider multi-modal decisions as those that are ab...
Francisco Grimaldo, Miguel Lozano, Fernando Barber