Neural Fitted Q Iteration First Experiences with a Data Ecient Neural Reinforcement Learning Method Martin Riedmiller Neuroinformatics Group University of Onsabr uck Osnabr uck Abstract
This paper introduces NFQ an algorithm for e64259cient and ef fective training of a Qvalue function represented by a multilayer percep tron Based on the principle of storing and reusing transition experiences a modelfree neural network based Reinfor
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