Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Scheduling algorithms for real-time systems can be characterized in various ways, one of the most important ones of which is the underlying task model. Many concepts of real-time ...
One of the main objectives in setting up wireless services is to provide feasible content for the mobile users wherever and whenever they might need it. The dream of having servic...
Simulation has been used traditionally to solve other areas problems. Real time applications like videogames use typically a continuous simulation scheme. That way of operation ha...
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...