Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
Abstract— In this paper, we develop methods to “sample” a large real network into a small realistic graph. Although topology modeling has received a lot attention lately, it ...
Visualized information is a technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human us...
Semantic Web technology has a vision to define and link Web data in a way that it can be understood and used by machines for automation, integration and reuse of data across variou...
Common wisdom has it that small distinctions in the probabilities quantifying a belief network do not matter much for the results of probabilistic queries. Yet, one can develop re...