Scholar
Jonas Eschmann
Google Scholar ID: xrfxLAIAAAAJ
PhD student, UC Berkeley
reinforcement learning
robotics
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Citations & Impact
All-time
Citations
279
H-index
5
i10-index
2
Publications
7
Co-authors
0
Contact
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GitHub
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Publications
1 items
RAPTOR: A Foundation Policy for Quadrotor Control
2025
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0
Resume (English only)
Academic Achievements
Contributed to several open-source projects, including but not limited to:
- rl-tools/rl-tools: The Fastest Deep Reinforcement Learning Library
- arplaboratory/learning-to-fly: Training transferable end-to-end quadrotor control policies on a laptop in 18 seconds
- rl-tools/l2f: The Fastest Quadrotor Dynamics Simulator
- rl-tools/raptor: A Foundation Policy for Quadrotor Control
Background
PhD student @ UC Berkeley.
Miscellany
Has a GitHub account with a notable number of followers (55) and following (41).
Co-authors
0 total
Co-authors: 0 (list not available)
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