Oleg Arenz
Cited by
Cited by
Efficient gradient-free variational inference using policy search
O Arenz, M Zhong, G Neumann
International Conference on Machine Learning, 2018
A haptic shared-control architecture for guided multi-target robotic grasping
F Abi-Farraj, C Pacchierotti, O Arenz, G Neumann, PR Giordano
IEEE transactions on haptics, 2019
Monte carlo chess
O Arenz
Learning trajectory distributions for assisted teleoperation and path planning
M Ewerton, O Arenz, G Maeda, D Koert, Z Kolev, M Takahashi, J Peters
Frontiers in Robotics and AI 6, 89, 2019
Inverse reinforcement learning of bird flocking behavior
R Pinsler, M Maag, O Arenz, G Neumann
ICRA Swarms Workshop, 2018
Optimal Control and Inverse Optimal Control by Distribution Matching
O Arenz, H Abdulsamad, G Neumann
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation
P Becker, O Arenz, G Neumann
arXiv preprint arXiv:2001.08682, 2020
Trust-region variational inference with Gaussian mixture models
O Arenz, M Zhong, G Neumann
Journal of Machine Learning Research 21 (163), 1-60, 2020
State-regularized policy search for linearized dynamical systems
H Abdulsamad, O Arenz, J Peters, G Neumann
Assisted teleoperation in changing environments with a mixture of virtual guides
M Ewerton, O Arenz, J Peters
Advanced Robotics 34 (18), 1157-1170, 2020
Non-Adversarial Imitation Learning and its Connections to Adversarial Methods
O Arenz, G Neumann
arXiv preprint arXiv:2008.03525, 2020
Deep Adversarial Reinforcement Learning for Object Disentangling
M Laux, O Arenz, J Peters, J Pajarinen
arXiv preprint arXiv:2003.03779, 2020
Probabilistic approach to physical object disentangling
J Pajarinen, O Arenz, J Peters, G Neumann
arXiv preprint arXiv:2002.11495, 2020
Feature Extraction for Inverse Reinforcement Learning
O Arenz
Iterative Cost Learning from Different Types of Human Feedback
O Arenz, G Neumann
Haptic-based Guided Grasping in a Cluttered Environment
F Abi-Farraj, C Pacchierotti, O Arenz, G Neumann, PR Giordano
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