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Conference Papers Year : 2006

OpenDP a free Reinforcement Learning toolbox for discrete time control problems

Sylvain Gelly
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Olivier Teytaud

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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Dates and versions

inria-00117392 , version 1 (01-12-2006)

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  • HAL Id : inria-00117392 , version 1

Cite

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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