Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Diego Agudelo-España"'
Autor:
Maximilien Naveau, Andreas Krause, Julian Viereck, Andrii Zadaianchuk, Bernhard Schölkopf, Aditya Garg, Georg Martius, Philippe Wenk, Ludovic Righetti, Stefan Bauer, Diego Agudelo-España, Felix Grimminger, Joel Akpo, Manuel Wüthrich
Publikováno v:
ICRA
In the context of model-based reinforcement learning and control, a large number of methods for learning system dynamics have been proposed in recent years. The purpose of these learned models is to synthesize new control policies. An important open
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f81a95eecabe47e007bbd6a46aefc19b
https://doi.org/10.1109/icra40945.2020.9197392
https://doi.org/10.1109/icra40945.2020.9197392
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319522760
CIARP
CIARP
In this work a different probabilistic motor primitive parameterization is proposed using latent force models (LFMs). The sequential composition of different motor primitives is also addressed using hidden Markov models (HMMs) which allows to capture
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a739847b23e4aeb9179bf90362da0b8
https://doi.org/10.1007/978-3-319-52277-7_31
https://doi.org/10.1007/978-3-319-52277-7_31
