フォロー
Oleg Arenz
タイトル
引用先
引用先
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
572019
Efficient gradient-free variational inference using policy search
O Arenz, M Zhong, G Neumann
International Conference on Machine Learning, 2018
332018
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
182019
LS-IQ: Implicit reward regularization for inverse reinforcement learning
F Al-Hafez, D Tateo, O Arenz, G Zhao, J Peters
arXiv preprint arXiv:2303.00599, 2023
162023
Assisted teleoperation in changing environments with a mixture of virtual guides
M Ewerton, O Arenz, J Peters
Advanced Robotics 34 (18), 1157-1170, 2020
162020
Integrating contrastive learning with dynamic models for reinforcement learning from images
B You, O Arenz, Y Chen, J Peters
Neurocomputing 476, 102-114, 2022
142022
Trust-region variational inference with gaussian mixture models
O Arenz, M Zhong, G Neumann
Journal of Machine Learning Research 21 (163), 1-60, 2020
142020
Monte carlo chess
O Arenz
Technische Universität Darmstadt, 2012
14*2012
Expected information maximization: Using the i-projection for mixture density estimation
P Becker, O Arenz, G Neumann
arXiv preprint arXiv:2001.08682, 2020
132020
Inverse reinforcement learning of bird flocking behavior
R Pinsler, M Maag, O Arenz, G Neumann
ICRA Swarms Workshop, 2018
92018
Non-adversarial imitation learning and its connections to adversarial methods
O Arenz, G Neumann
arXiv preprint arXiv:2008.03525, 2020
82020
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
72016
State-regularized policy search for linearized dynamical systems
H Abdulsamad, O Arenz, J Peters, G Neumann
Proceedings of the International Conference on Automated Planning and …, 2017
52017
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models
O Arenz, P Dahlinger, Z Ye, M Volpp, G Neumann
Transactions on Machine Learning Research (TMLR), 2835-8856, 2023
42023
Probabilistic approach to physical object disentangling
J Pajarinen, O Arenz, J Peters, G Neumann
IEEE Robotics and Automation Letters 5 (4), 5510-5517, 2020
42020
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
42020
Digital Twin of a Driver-in-the-Loop Race Car Simulation with Contextual Reinforcement Learning
S Ju, P van Vliet, O Arenz, J Peters
IEEE Robotics and Automation Letters, 2023
12023
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning
B You, J Xie, Y Chen, J Peters, O Arenz
arXiv preprint arXiv:2209.05333, 2022
12022
Least Squares Inverse Q-Learning
F Al-Hafez, D Tateo, O Arenz, G Zhao, J Peters
Sixteenth European Workshop on Reinforcement Learning, 2023
2023
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
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