[computer-go] learning algorithms such as TD(lambda)- state of the art

[Carter Cheng]

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.