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Reinforcement Learning Theory

Reinforcement Learning Theory

This video was recorded at Machine Learning Summer School (MLSS), Taipei 2006. 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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