Contemporary parser research is, to a large extent, focused on statistical parsers and deep-unification-based parsers. This paper describes an alternative, hybrid architecture in ...
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
— We consider a financial decision problem involving dynamic investment decisions on a single risky instrument over multiple and discrete time periods. Investment returns are as...
Ufuk Topcu, Giuseppe Carlo Calafiore, Laurent El G...
We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
Mobility, in its various forms, is one of the sources of several technical challenges being addressed in the last years to achieve a more flexible computing and communication inf...