Daniel Tanneberg
Daniel Tanneberg
Senior Scientist @ Honda Research Institute EU, PhD from IAS @ TU Darmstadt
Verified email at robot-learning.de
Title
Cited by
Cited by
Year
Recurrent spiking networks solve planning tasks
E Rueckert, D Kappel, D Tanneberg, D Pecevski, J Peters
Scientific reports 6 (1), 1-10, 2016
502016
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks
D Tanneberg, J Peters, E Rueckert
Neural Networks 109, 67-80, 2019
172019
Generalized exploration in policy search
H van Hoof, D Tanneberg, J Peters
Machine Learning 106 (9), 1705-1724, 2017
112017
Deep spiking networks for model-based planning in humanoids
D Tanneberg, A Paraschos, J Peters, E Rueckert
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016
72016
Online learning with stochastic recurrent neural networks using intrinsic motivation signals
D Tanneberg, J Peters, E Rueckert
Conference on Robot Learning, 167-174, 2017
52017
SKID RAW: Skill Discovery from Raw Trajectories
D Tanneberg, K Ploeger, E Rueckert, J Peters
IEEE Robotics and Automation Letters 6 (3), 4696 - 4703, 2021
42021
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer Architecture
D Tanneberg, E Rueckert, J Peters
arXiv preprint arXiv:1911.00926, 2019
4*2019
Evolutionary training and abstraction yields algorithmic generalization of neural computers
D Tanneberg, E Rueckert, J Peters
Nature Machine Intelligence 2 (12), 753-763, 2020
22020
Model-Based Quality-Diversity Search for Efficient Robot Learning
L Keller, D Tanneberg, S Stark, J Peters
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
22020
Efficient Online Adaptation with Stochastic Recurrent Neural Networks
D Tanneberg, J Peters, E Rueckert
2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids …, 2017
22017
Simulation of the underactuated Sake Robotics Gripper in V-REP
SK Thiem, S Stark, D Tanneberg, J Peters, E Rueckert
Workshop at 2017 IEEE-RAS 17th International Conference on Humanoid Robotics …, 2017
12017
Personalized Brain-Computer Interfaces for Non-Laboratory Environments
T Friess, KH Fiebig, D Sharma, N Faber, T Hesse, D Tanneberg, J Peters, ...
Cybathlon Symposium, Zürich, 2016
12016
Understand-Compute-Adapt: Neural Networks for Intelligent Agents
D Tanneberg
Technische Universität Darmstadt, 2020
2020
Open-Ended Learning of Grasp Strategies using Intrinsically Motivated Self-Supervision
Q Delfosse, S Stark, D Tanneberg, VG Santucci, J Peters
Workshop at the International Conference on Intelligent Robots and Systems …, 2019
2019
Supplement to Recurrent Spiking Networks Solve Planning Tasks
E Rueckert, D Kappel, D Tanneberg, D Pecevski, J Peters
2016
Adaptive Training Strategies for BCI
D Sharma, D Tanneberg, M Grosse-Wentrup, J Peters, E Rueckert
Cybathlon Symposium, Zürich, 2016
2016
Spiking Neural Networks Solve Robot Planning Problems: Spiking Neural Networks Zum Lösen Von Planungsproblemen Für Roboter
D Tanneberg
2015
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Articles 1–17