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- Marc Ricordeau
- ICTAI
- 2003

One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use algorithms that enable a generalization of the learning, they are unable to explain their choices. Neural networks are good examples of this problem. After a reminder about the basis… (More)

- Marc Ricordeau, Michel Liquiere
- CLA
- 2007

The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a set of examples or searching for regularities is a problem which has already been intensively studied in machine learning. Our work uses techniques in which generalizations are… (More)

- Joseph A. Caroli, A Fourès, Marc Ricordeau
- Concours médical
- 1952

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