Name
Abstract | ||
|---|---|---|
Although sensorimotor exploration is a basic process within child development, clear views on the underlying computational processes remain challenging. We propose to compare eight algorithms for sensorimotor exploration, based on three components: "accommodation" performing a compromise between goal babbling and social guidance by a master, "local extrapolation" simulating local exploration of the sensorimotor space to achieve motor generalizations and "idiosyncratic babbling" which favors already explored motor commands when they are efficient. We will show that a mix of these three components offers a good compromise enabling efficient learning while reducing exploration as much as possible. |
Year | Venue | Field |
|---|---|---|
2016 | Joint IEEE International Conference on Development and Learning and Epigenetic Robotics ICDL-EpiRob | Babbling,Approximation algorithm,Bayesian inference,Child development,Computer science,Generalization,Artificial intelligence,Compromise,Machine learning,Bayesian probability,Accommodation |
DocType | ISSN | Citations |
Conference | 2161-9484 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| marielou barnaud | 1 | 0 | 0.68 |
| Jean-Luc Schwartz | 2 | 31 | 9.34 |
| Julien Diard | 3 | 62 | 10.72 |
| Pierre Bessière | 4 | 425 | 86.40 |