Hi,
I have been leafing through a book "Reinforcement Learning" by Sutton and
Barto. The book seems to serve as a decent introductory text to some of the
issues which are mentioned in parts of Sylvain Gelly's thesis.
The book however, is a decade old and I curious if there are resources which
discuss updates and more recent results in this and related fields where you
are exploring a state space through sampling methods. I am not sure if any
readers of the mailing list have looked at this- but other than the journal
Machine Learning are there other good journals which explore this material in a
probablistic/statistical framework?
Thank again,
Carter.
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