Reinforcement Learning Theory

Posted in Companies, Science on October 13, 2008

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.

Author: John Langford, Yahoo Research, Yahoo!

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