Reinforcement Learning

author: Satinder Singh, Electrical Engineering and Computer Science Department, University of Michigan
published: Feb. 25, 2007,   recorded: February 2006,   views: 29107


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Q learning (w/ proof),
Function approximation,

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Reviews and comments:

Comment1 Mark, November 17, 2008 at 9:29 a.m.:

I can't seem to find the download URL. Streaming will not work for me, as I need to view these in a place where the network is not available. Is there a download link somewhere? Thanks.

Comment2 Callum Allan, January 17, 2022 at 11:41 a.m.:

By rewarding itself for correct actions, or punishing itself for incorrect ones, it can learn over time which actions lead to good outcomes and which do not. Reinforcement learning does not require any pre-determined rules like other forms of machine learning. This makes it highly adaptive and allows it to adjust when new information becomes available. In this way, a reinforcement learner can adapt as time goes on without human intervention. Now I am willing to visit website to get help in my essay that I want to write about this difficult topic.

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