Reinforcement Learning
author: Satinder Singh,
Electrical Engineering and Computer Science Department, University of Michigan
published: Feb. 25, 2007, recorded: February 2006, views: 29107
published: Feb. 25, 2007, recorded: February 2006, views: 29107
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Part 1 59:43
Part 2 55:55
Part 3 55:18
Part 4 39:25
Part 5 59:48
Part 6 28:48
Description
MDPs/VI,
Q learning (w/ proof),
TD(lambda),
Function approximation,
options,
PSRs
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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.
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 http://www.aussiessay.com/ website to get help in my essay that I want to write about this difficult topic.
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