TY - GEN
T1 - Socially guided intrinsically motivated learner
AU - Nguyen, Sao Mai
AU - Oudeyer, Pierre Yves
PY - 2012/12/1
Y1 - 2012/12/1
N2 - This paper studies the coupling of two learning strategies: internally guided learning and social interaction. We present Socially Guided Intrinsic Motivation by Demonstration (SGIM-D) and its interactive learner version Socially Guided Intrinsic Motivation with Interactive learning at the Meta level (SGIM-IM), which are algorithms for learning inverse models in high dimensional continuous sensorimotor spaces. After describing the general framework of our algorithms, we illustrate with a fishing experiment.
AB - This paper studies the coupling of two learning strategies: internally guided learning and social interaction. We present Socially Guided Intrinsic Motivation by Demonstration (SGIM-D) and its interactive learner version Socially Guided Intrinsic Motivation with Interactive learning at the Meta level (SGIM-IM), which are algorithms for learning inverse models in high dimensional continuous sensorimotor spaces. After describing the general framework of our algorithms, we illustrate with a fishing experiment.
UR - https://www.scopus.com/pages/publications/84872837228
U2 - 10.1109/DevLrn.2012.6400809
DO - 10.1109/DevLrn.2012.6400809
M3 - Conference contribution
AN - SCOPUS:84872837228
SN - 9781467349635
T3 - 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL 2012
BT - 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL 2012
T2 - 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL 2012
Y2 - 7 November 2012 through 9 November 2012
ER -