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Adaptation dynamique d'un drone aux perturbations environnementales par apprentissage

Conference Paper


Abstract


  • The demonstrator presented introduces a case study of learning by system multi-agent in a simulated environment. The core of this work is the enrichment of a learning experience by demonstration using a mechanism of self-taught learning. This mechanism allows the learning agent to exceed the limits introduced by the demonstration process by allowing him to adapt his behaviour to deal with unforeseen situations. This learning involves a robotic task: learning to follow a trajectory in order to airborne drone. The self-directed learning mechanism provides more robustness to the learning phase.

Authors


  •   Dato, Bruno (external author)
  •   Verstaevel, Nicolas
  •   Migeon, Frederic (external author)
  •   Gleizes, Marie-Pierre (external author)

Publication Date


  • 2018

Citation


  • Dato, B., Verstaevel, N., Migeon, F. & Gleizes, M. (2018). Adaptation dynamique d'un drone aux perturbations environnementales par apprentissage. Distribution et Décentralisation - Vingt-sixièmes journées francophones sur les systèmes multi-agents, JFSMA 2018 (pp. 231-232). France: Cépaduès.

Start Page


  • 231

End Page


  • 232

Place Of Publication


  • France

Abstract


  • The demonstrator presented introduces a case study of learning by system multi-agent in a simulated environment. The core of this work is the enrichment of a learning experience by demonstration using a mechanism of self-taught learning. This mechanism allows the learning agent to exceed the limits introduced by the demonstration process by allowing him to adapt his behaviour to deal with unforeseen situations. This learning involves a robotic task: learning to follow a trajectory in order to airborne drone. The self-directed learning mechanism provides more robustness to the learning phase.

Authors


  •   Dato, Bruno (external author)
  •   Verstaevel, Nicolas
  •   Migeon, Frederic (external author)
  •   Gleizes, Marie-Pierre (external author)

Publication Date


  • 2018

Citation


  • Dato, B., Verstaevel, N., Migeon, F. & Gleizes, M. (2018). Adaptation dynamique d'un drone aux perturbations environnementales par apprentissage. Distribution et Décentralisation - Vingt-sixièmes journées francophones sur les systèmes multi-agents, JFSMA 2018 (pp. 231-232). France: Cépaduès.

Start Page


  • 231

End Page


  • 232

Place Of Publication


  • France