Belousov, Boris ; Neumann, Gerhard ; Rothkopf, Constantin A. ; Peters, Jan (2022):
Catching heuristics are optimal control policies. (Publisher's Version)
In: Advances in Neural Information Processing Systems 29 : 30th Annual Conference on Neural Information Processing Systems 2016,
Darmstadt, Neural Information Processing Systems, Advances in Neural Information Processing Systems 29 (NIPS 2016), Barcelona, Spain, 05.-10.12.2016, DOI: 10.26083/tuprints-00020556,
[Conference or Workshop Item]

Pajarinen, Joni ; Thai, Hong Linh ; Akrour, Riad ; Peters, Jan ; Neumann, Gerhard (2022):
Compatible natural gradient policy search. (Publisher's Version)
In: Machine Learning, 108 (8-9), pp. 1443-1466. Springer, ISSN 0885-6125, e-ISSN 1573-0565,
DOI: 10.26083/tuprints-00020531,
[Article]

Koert, Dorothea ; Maeda, Guilherme ; Lioutikov, Rudolf ; Neumann, Gerhard ; Peters, Jan (2022):
Demonstration based trajectory optimization for generalizable robot motions. (Postprint)
In: 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), pp. 515-522,
Darmstadt, IEEE, International Conference on Humanoid Robots (Humanoids), Cancun, Mexico, 15.-17.11.2016, e-ISSN 2164-0580, ISBN 978-1-509-04719-2,
DOI: 10.26083/tuprints-00020544,
[Conference or Workshop Item]

Arenz, Oleg ; Neumann, Gerhard ; Zhong, Mingjun (2022):
Efficient Gradient-Free Variational Inference using Policy Search. (Publisher's Version)
80, In: Proceedings of Machine Learning Research, pp. 234-243,
Darmstadt, PMLR, 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden, 10.-15.07.2018, e-ISSN 2640-3498,
DOI: 10.26083/tuprints-00022925,
[Conference or Workshop Item]

Becker, Philipp ; Arenz, Oleg ; Neumann, Gerhard (2022):
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. (Publisher's Version)
Darmstadt, 8. International Conference on Learning Representations (ICLR 2020), Virtual Conference, 26.-30.04.2020, DOI: 10.26083/tuprints-00022969,
[Conference or Workshop Item]

Abi-Farraj, Firas ; Pacchierotti, Claudio ; Arenz, Oleg ; Neumann, Gerhard ; Robuffo Giordano, Paolo (2022):
A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping. (Postprint)
In: IEEE Transactions on Haptics, 13 (2), pp. 270-285. IEEE, ISSN 1939-1412, e-ISSN 2329-4051,
DOI: 10.26083/tuprints-00022928,
[Article]

Koert, Dorothea ; Maeda, Guilherme ; Neumann, Gerhard ; Peters, Jan (2022):
Learning Coupled Forward-Inverse Models with Combined Prediction Errors. (Postprint)
In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 2433-2439,
Darmstadt, IEEE, International Conference on Robotics and Automation (ICRA) 2018, Brisbane, QLD, Australia, 21.-25.05.2018, e-ISSN 2577-087X, ISBN 978-1-5386-3081-5,
DOI: 10.26083/tuprints-00020546,
[Conference or Workshop Item]

Lioutikov, Rudolf ; Neumann, Gerhard ; Maeda, Guilherme ; Peters, Jan (2022):
Learning movement primitive libraries through probabilistic segmentation. (Postprint)
In: The International Journal of Robotics Research, 36 (8), pp. 879-894. SAGE Publications, ISSN 0278-3649, e-ISSN 1741-3176,
DOI: 10.26083/tuprints-00020539,
[Article]

Arenz, Oleg ; Abdulsamad, Hany ; Neumann, Gerhard (2022):
Optimal Control and Inverse Optimal Control by Distribution Matching. (Postprint)
In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4046-4053,
Darmstadt, IEEE, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea, 09.-14.10.2016, e-ISSN 2153-0866, ISBN 978-1-5090-3762-9,
DOI: 10.26083/tuprints-00022929,
[Conference or Workshop Item]

Pajarinen, Joni ; Arenz, Oleg ; Peters, Jan ; Neumann, Gerhard (2022):
Probabilistic Approach to Physical Object Disentangling. (Postprint)
In: IEEE Robotics and Automation Letters, 5 (4), pp. 5510-5517. IEEE, e-ISSN 2377-3766,
DOI: 10.26083/tuprints-00022927,
[Article]

Akrour, Riad ; Pajarinen, Joni ; Peters, Jan ; Neumann, Gerhard (2022):
Projections for Approximate Policy Iteration Algorithms. (Publisher's Version)
In: Proceedings of Machine Learning Research, 97, In: Proceedings of the 36th International Conference on Machine Learning, pp. 181-190,
Darmstadt, PMLR, 36th International Conference on Machine Learning, Long Beach, California, USA, 09.-15.06.2019, DOI: 10.26083/tuprints-00020582,
[Conference or Workshop Item]

Arenz, Oleg ; Zhong, Mingjun ; Neumann, Gerhard (2022):
Trust-Region Variational Inference with Gaussian Mixture Models. (Publisher's Version)
In: Journal of Machine Learning Research, 21, JMLR, e-ISSN 1533-7928,
DOI: 10.26083/tuprints-00022920,
[Article]