Reinforcement Learning Theory
published: Feb. 25, 2007, recorded: July 2006, views: 13351
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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.
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