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  • Affective Computing, IDS Department, Télécom Paris
  • Paris, France
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  1. AMAL AMAL Public

    A project for the course 'Advanced MAchine Learning & Deep Learning 2019-2020'

    Python 3

  2. IAR IAR Public

    A replication of the experiments conducted in the paper "Efficient Learning and Planning Within the Dyna Framework" by Peng and Williams.

    Python

  3. MADI MADI Public

    A collection of projects completed for the course 'Modèles et Algorithmes pour la Décision dans l'Incertain'

    Jupyter Notebook

  4. COCOMA COCOMA Public

    A project for the course 'Coordination et Consensus Multiagents: Modèles, Algorithmes, Protocoles'

    Python