After nearly 11 years, I’ve finally decided to pull the plug on Usenet archive: Groupsrv.com.

The page you have requested no longer exists!

But don’t panic just yet!

I’ve coded this page in a way, that it’s monitoring each redirect & capturing data about the thread you’ve requested. Page you’ve requested is still available in Google’s Usenet Archive. You should be able to access it using following URL:

Reinforcement Learning..

Note: I can’t guarantee that all Groupsrv.com pages can be found in Google Groups, but over 90% of the content should be there. If not, try the resources below!

Wikipedia:
Reinforcement learning! – For reinforcement learning in psychology, see Reinforcement. Reinforcement learning is an area of machine learning inspired by behaviorist psychology,
Machine learning! – (discovering hidden patterns in data) or a means towards an end. In reinforcement learning, a computer program interacts with a dynamic environment in which
Markov decision process! – range of optimization problems solved via dynamic programming and reinforcement learning. MDPs were known at least as early as the 1950s (cf. Bellman 1957)
Andrew Barto! – of the department since January 2007. His main research area is reinforcement learning. Professor Barto is a Fellow of the American Association for the
Richard S. Sutton! – contributions in the field of reinforcement learning. He is the author of the original paper on temporal difference learning. He is a fellow of the Association

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