Learned graphical models for probabilistic planning provide a new class of movement primitives
Learned graphical models for probabilistic planning provide a new class of movement primitives
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Switzerland: Frontiers Research Foundation
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English
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Switzerland: Frontiers Research Foundation
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BIOLOGICAL MOVEMENT GENERATION COMBINES THREE INTERESTING ASPECTS: its modular organization in movement primitives (MPs), its characteristics of stochastic optimality under perturbations, and its efficiency in terms of learning. A common approach to motor skill learning is to endow the primitives with dynamical systems. Here, the parameters of the...
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Learned graphical models for probabilistic planning provide a new class of movement primitives
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TN_cdi_doaj_primary_oai_doaj_org_article_f270f5e3dd44483c93e5e0e3594179fb
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f270f5e3dd44483c93e5e0e3594179fb
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ISSN
1662-5188
E-ISSN
1662-5188
DOI
10.3389/fncom.2012.00097
