Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Academics and industry professionals alike have long been interested in developing a nuanced and empirically sound typography of online gamers. Designers and engineers are aware o...
— As content delivery to wireless devices becomes faster and scalable, it is likely that mobile commerce will constitute a significant portion of digital commerce. In markets, b...
The open model for solutions development is quickly extending from software to other technology areas, such as hardware and services. Specifically, just as open source has spawned...
Cooperation structures without any a priori assumptions on the combinatorial structure of feasible coalitions are studied and a general theory for marginal values, cores and conve...