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Reinforcement Learning Theory
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Reinforcement Learning Theory
The tutorial is on several new pieces of Reinforcement learning theory developed in the last 7 years. This includes: 1. Sample based analysis of RL including E3 and sparse sampling. 2. Generalization based analysis of RL including conservative policy iteration and RL-to-Classification reductions. For each of these forms of theory, we cover the basic results and cover the weaknesses and strengths of the approach in context.
Video Length: 4882
Date Found: October 13, 2010
Date Produced: February 25, 2007
View Count: 0
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