Reinforcement learning

author: Scott Sanner, NICTA
published: April 1, 2009,   recorded: January 2009,   views: 1780
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Description

This course covers the theory and application of reinforcement learning: the task of learning to make optimal sequential decisions when given a delayed reward signal. Topics will include planning in known and unknown environments and will place equal emphasis on theoretical results and practical implementation issues in the context of various applications.

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