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Conference papers

Learning for stochastic dynamic programming

Sylvain Gelly 1 Jérémie Mary 1 Olivier Teytaud 1
1 TANC - Algorithmic number theory for cryptology
Inria Saclay - Ile de France, LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
Abstract : We present experimental results about learning function values (i.e. Bellman values) in stochastic dynamic programming (SDP). All results come from openDP (opendp.sourceforge.net), a freely available source code, and therefore can be reproduced. The goal is an independent comparison of learning methods in the framework of SDP.
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Submitted on : Thursday, November 9, 2006 - 5:06:02 PM
Last modification on : Friday, February 4, 2022 - 3:23:30 AM
Long-term archiving on: : Thursday, September 20, 2012 - 2:35:23 PM

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Sylvain Gelly, Jérémie Mary, Olivier Teytaud. Learning for stochastic dynamic programming. 11th European Symposium on Artificial Neural Networks (ESANN), Apr 2006, bruges Belgium. ⟨inria-00112796⟩

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