An algorithmic perspective on imitation learning

Familiarizes machine learning experts with imitation learning, statistical supervised learning theory, and reinforcement learning. It also roboticists and experts in applied artificial intelligence with a broader appreciation for the frameworks and tools available for imitation learning.

Detalles Bibliográficos
Autores principales: Osa, Takayuki, Pajarinen, Joni, Neumann, Gerhard, Bagnell, J Andrew, Abbeel, Pieter, Peters, Jan
Lenguaje:eng
Publicado: Now Publishers 2018
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2761859

Internet

http://cds.cern.ch/record/2761859

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