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Career

· PhD Student, New York University
· Researcher, Technology Innovation Institute
· Master of Science in Autonomous Systems, TU Darmstadt
· PhD Student, UC Berkeley

Publications (8)

Reward Function Design in Reinforcement Learning
Analysis and Applications · 2021
130
cited
Learning to Fly in Seconds
IEEE Robotics and Automation Letters · 2023
41
cited
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
2023
8
cited
Data-Driven System Identification of Quadrotors Subject to Motor Delays
IEEE/RJS International Conference on Intelligent RObots and Systems · 2024
5
cited
Underactuated Waypoint Trajectory Optimization for Light Painting Photography
IEEE International Conference on Robotics and Automation · 2020
4
cited
Partially Unsupervised Deep Meta-Reinforcement Learning
2021
1
cited
RAPTOR: A Foundation Policy for Quadrotor Control
arXiv.org · 2025
1
cited
HoLoArm: Deformable Arms for Collision-Tolerant Quadrotor Flight
IEEE Robotics and Automation Letters · 2026
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Jonas Eschmann | Researcher Profile | Sotabase | Sotabase