ABSTRACT:
Taking advantage of Goal Arity in Learning by Interaction
There exist many problems in the Reinforcement Learning domain which can
be
analyzed in terms of the so called goal arity. Once arity is determined, a
general-purpose tabular learning approach can be applied with minimal
memory
requirements and attractive convergence properties. I will give examples
of
how this approach can be used.
Digital Media Initiatives and Research Opportunities at Amazon.com
In the course of running its many websites Amazon.com collects enormous
quantities of information, such as session click-streams, purchase
histories, product reviews, wish lists, etc. Additionally, the Digital
Media
Technology group ingests all sorts of digital media offered for sale,
e.g.,
scanned books or movie/TV shows. This data presents great challenges but
also great research opportunities. I will review the data available, show
what we currently do with it, and discuss future possibilities.
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