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Autonomous Model Learning for Reinforcement Learning

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1 Author(s)

Stochastic modeling is an excellent way of capturing system dynamics so that alternative control strategies can be evaluated and compared. I will discuss attributes that make some problems amenable to autonomous learning of system dynamics. I will then present recent advances in my lab concerning the design of learning algorithms with formal learning-time guarantees in the "KWIK" (knows what it knows) formalism along with their implementation on robotic and software control problems.

Published in:

Quantitative Evaluation of Systems, 2008. QEST '08. Fifth International Conference on

Date of Conference:

14-17 Sept. 2008