Abstract
Our research focuses on the behavioral animation of virtual humans who are capable of taking actions by themselves. In this paper we will deal more specifically with Reinforcement Learning methodologies, which integrate in an original way the RL agent and the Autonomous Virtual Agent in a Virtual Environment. With the help of a Virtual Environment in the form of a town, we shall demonstrate that it is indeed the learning process and not the optimization of RL, which is used by the AVAs.
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Conde, T., Tambellini, W., Thalmann, D. (2003). Behavioral Animation of Autonomous Virtual Agents Helped by Reinforcement Learning. In: Rist, T., Aylett, R.S., Ballin, D., Rickel, J. (eds) Intelligent Virtual Agents. IVA 2003. Lecture Notes in Computer Science(), vol 2792. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39396-2_28
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DOI: https://doi.org/10.1007/978-3-540-39396-2_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20003-1
Online ISBN: 978-3-540-39396-2
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