Folgen
Oleg Arenz
Titel
Zitiert von
Zitiert von
Jahr
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 13 (2), 270-285, 2019
342019
Efficient gradient-free variational inference using policy search
O Arenz, M Zhong, G Neumann
International Conference on Machine Learning, 2018
252018
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
142019
Monte carlo chess
O Arenz
122012
Assisted teleoperation in changing environments with a mixture of virtual guides
M Ewerton, O Arenz, J Peters
Advanced Robotics 34 (18), 1157-1170, 2020
82020
Expected information maximization: Using the i-projection for mixture density estimation
P Becker, O Arenz, G Neumann
arXiv preprint arXiv:2001.08682, 2020
72020
Trust-Region Variational Inference with Gaussian Mixture Models.
O Arenz, M Zhong, G Neumann
J. Mach. Learn. Res. 21, 163:1-163:60, 2020
72020
Inverse reinforcement learning of bird flocking behavior
R Pinsler, M Maag, O Arenz, G Neumann
ICRA Swarms Workshop, 2018
72018
Non-adversarial imitation learning and its connections to adversarial methods
O Arenz, G Neumann
arXiv preprint arXiv:2008.03525, 2020
52020
State-regularized policy search for linearized dynamical systems
H Abdulsamad, O Arenz, J Peters, G Neumann
Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
42017
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
42016
Probabilistic approach to physical object disentangling
J Pajarinen, O Arenz, J Peters, G Neumann
IEEE Robotics and Automation Letters 5 (4), 5510-5517, 2020
22020
Integrating contrastive learning with dynamic models for reinforcement learning from images
B You, O Arenz, Y Chen, J Peters
Neurocomputing 476, 102-114, 2022
12022
Deep Adversarial Reinforcement Learning for Object Disentangling
M Laux, O Arenz, J Peters, J Pajarinen
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
12020
A First-Order Method for Estimating Natural Gradients for Variational Inference with Gaussians and Gaussian Mixture Models
O Arenz, Z Ye, P Dahlinger, G Neumann
2021
Sample-Efficient I-Projections for Robot Learning
JO Arenz
Technische Universität Darmstadt, 2021
2021
Feature Extraction for Inverse Reinforcement Learning
O Arenz
2014
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–19