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OpenDP a free Reinforcement Learning toolbox for discrete time control problems

Sylvain Gelly 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 : OpenDP (http://opendp.sourceforge.net) is a free software (under GPL) written in C++ for control problems: (i) with discrete time steps (either finite horizon, or approximation of infinite horizon by temporal-ring for stationnary problems), (ii) where the transition function newState = T (state, decision) can be encoded in C++, (iii) possibly stochastic (with the function T above depending on some random process).
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https://hal.inria.fr/inria-00117392
Contributor : Sylvain Gelly <>
Submitted on : Friday, December 1, 2006 - 2:33:29 PM
Last modification on : Thursday, March 5, 2020 - 6:31:36 PM
Long-term archiving on: : Thursday, September 20, 2012 - 3:25:58 PM

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Sylvain Gelly, Olivier Teytaud. OpenDP a free Reinforcement Learning toolbox for discrete time control problems. NIPS Workshop on Machine Learning Open Source Software, Dec 2006, Whistler (B.C.). ⟨inria-00117392⟩

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