Abstract
This Chapter describes a framework for training and testing a RL-based policy in simulation, where the simulated environment is obtained from limited amounts of Wizard-of-Oz (WOZ) data.
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© 2011 Springer-Verlag Berlin Heidelberg
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Rieser, V., Lemon, O. (2011). Building Simulation Environments from Wizard-of-Oz Data. In: Reinforcement Learning for Adaptive Dialogue Systems. Theory and Applications of Natural Language Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24942-6_7
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DOI: https://doi.org/10.1007/978-3-642-24942-6_7
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24941-9
Online ISBN: 978-3-642-24942-6
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