Browse by Person
![]() | Up a level |
Tanneberg, Daniel ; Peters, Jan ; Rueckert, Elmar (2022):
Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks. (Postprint)
In: Neural Networks, 109, pp. 67-80. Elsevier, ISSN 0893-6080,
DOI: 10.26083/tuprints-00020537,
[Article]
Tanneberg, Daniel ; Peters, Jan ; Rueckert, Elmar (2022):
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals. (Publisher's Version)
In: Proceedings of Machine Learning Research, 78, In: Proceedings of the 1st Annual Conference on Robot Learning, pp. 167-174,
Darmstadt, PMLR, CoRL2017 - Conference on Robot Learning 2017, Mountain View, California, 13.-15.11.2017, DOI: 10.26083/tuprints-00020580,
[Conference or Workshop Item]
Tanneberg, Daniel ; Ploeger, Kai ; Rueckert, Elmar ; Peters, Jan (2022):
SKID RAW: Skill Discovery From Raw Trajectories. (Postprint)
In: IEEE Robotics and Automation Letters, 6 (3), pp. 4696-4703. IEEE, ISSN 2377-3774, e-ISSN 2377-3766,
DOI: 10.26083/tuprints-00020536,
[Article]