Arenz, Oleg (2022)
Monte Carlo Chess.
Universitäts- und Landesbibliothek Darmstadt, 2012
doi: 10.26083/tuprints-00022930
Bachelorarbeit, Erstveröffentlichung, Verlagsversion

Laux, Melvin ; Arenz, Oleg ; Peters, Jan ; Pajarinen, Joni (2021)
Deep Adversarial Reinforcement Learning for Object Disentangling.
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Las Vegas, USA (Virtual) (24.10.2020-24.01.2021)
doi: 10.1109/IROS45743.2020.9341578
Konferenzveröffentlichung, Bibliographie

Ewerton, Marco ; Arenz, Oleg ; Peters, Jan (2020)
Assisted teleoperation in changing environments with a mixture of virtual guides.
In: Advanced Robotics, 34 (18)
doi: 10.1080/01691864.2020.1785326
Artikel, Bibliographie

Becker, Philipp ; Arenz, Oleg ; Neumann, Gerhard (2020)
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation.
8. International Conference on Learning Representations (ICLR 2020). Virtual Conference (26.-30.04.2020)
Konferenzveröffentlichung, Bibliographie

Pajarinen, Joni ; Arenz, Oleg ; Peters, Jan ; Neumann, Gerhard (2020)
Probabilistic Approach to Physical Object Disentangling.
In: IEEE Robotics and Automation Letters, 5 (4)
doi: 10.1109/LRA.2020.3006789
Artikel, Bibliographie

Arenz, Oleg ; Zhong, Mingjun ; Neumann, Gerhard (2020)
Trust-Region Variational Inference with Gaussian Mixture Models.
In: Journal of Machine Learning Research, 21
Artikel, Bibliographie

Abi-Farraj, Firas ; Pacchierotti, Claudio ; Arenz, Oleg ; Neumann, Gerhard ; Giordano, Paolo Robuffo (2019)
A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping.
In: IEEE Transactions on Haptics, 13 (2)
doi: 10.1109/TOH.2019.2913643
Artikel, Bibliographie

Ewerton, Marco ; Arenz, Oleg ; Maeda, Guilherme ; Koert, Dorothea ; Kolev, Zlatko ; Takahashi, Masaki ; Peters, Jan (2019)
Learning Trajectory Distributions for Assisted Teleoperation and Path Planning.
In: Frontiers in Robotics and AI, 6
doi: 10.3389/frobt.2019.00089
Artikel, Bibliographie

Arenz, Oleg ; Neumann, Gerhard ; Zhong, Mingjun (2018)
Efficient Gradient-Free Variational Inference using Policy Search.
35th International Conference on Machine Learning (ICML 2018). Stockholm, Sweden (10.-15.07.2018)
Konferenzveröffentlichung, Bibliographie