Abstract. Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Qlearning is commonly applied to problems with d...
Chris Gaskett, David Wettergreen, Alexander Zelins...
—Vehicle dispatching consists of allocating real-time service requests to a fleet of moving vehicles. In this paper, each vehicle is associated with a vector of attribute values...
: This paper proposes a framework for the detection of information leaks in workflow descriptions based on static information flow analysis. Despite the correct deployment of acces...
Collaborative object-based graphical editors offer good support for design teams to work concurrently on their design. However, not much research has been done on maintaining cons...
A new interval constraint propagation algorithm, called MOnotonic Hull Consistency (Mohc), has recently been proposed. Mohc exploits monotonicity of functions to better filter var...