Markov decision processes (MDPs) are widely used for modeling decision-making problems in robotics, automated control, and economics. Traditional MDPs assume that the decision mak...
In recent years, new socially-oriented Web technologies have been portrayed as placing the learner at the centre of networks of knowledge and expertise, potentially leading to new...
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...
Decentralized control of a cooperative multi-agent system is the problem faced by multiple decision-makers that share a common set of objectives. The decision-makers may be robots...
Access control has been studied for sometime, and there are a number of theories and techniques for handling access control for single or centralised systems; however, unique and ...
Daisy Daiqin He, Michael Compton, Kerry Taylor, Ji...