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Jonas Eschmann
Jonas Eschmann
PhD student, New York University
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
Reward function design in reinforcement learning
J Eschmann
Reinforcement learning algorithms: Analysis and Applications, 25-33, 2021
522021
Underactuated waypoint trajectory optimization for light painting photography
C Eilers, J Eschmann, R Menzenbach, B Belousov, F Muratore, J Peters
2020 IEEE International Conference on Robotics and Automation (ICRA), 1505-1510, 2020
52020
Learning to Fly in Seconds
J Eschmann, D Albani, G Loianno
arXiv preprint arXiv:2311.13081, 2023
22023
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
J Eschmann, D Albani, G Loianno
arXiv preprint arXiv:2306.03530, 2023
22023
Data-Driven System Identification of Quadrotors Subject to Motor Delays
J Eschmann, D Albani, G Loianno
arXiv preprint arXiv:2404.07837, 2024
2024
Partially Unsupervised Deep Meta-Reinforcement Learning
J Eschmann
Technische Universität Darmstadt, 2021
2021
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Articles 1–6