TRIESCH JOCHEN
Fonction : | Permanent (Autre) |
Location : | |
Team : | ComSee (ISPR) |
NUC section : | 61 |
Phone : | +33 |
e-mail : | This email address is being protected from spambots. You need JavaScript enabled to view it. |
Associated publications :
5 publications found2018
ACL
Stage-wise learning of reaching using little prior knowledge
frontiers in robotics and ai, vol. 5, p. 0--0
2018 oct
ACTI
Learning to touch objects through stage-wise deep reinforcement learning
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2018 oct
COM
Learning to touch objects through stage-wise deep reinforcement learning
IEEE/RSJ International Conference on Intelligent Robots and Systems
2018 oct
2017
ACTI
Learning of binocular fixations using anomaly detection with deep reinforcement learning
international joint conference on neural networks (IJCNN)
2017 may
ACTN
Apprentissage par renforcement profond de la fixation binoculaire en utilisant de la detection d'anomalies
orasis
2017 jun
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