Jonas Eschmann
Scholar

Jonas Eschmann

Google Scholar ID: xrfxLAIAAAAJ
PhD student, UC Berkeley
reinforcement learningrobotics
Citations & Impact
All-time
Citations
279
 
H-index
5
 
i10-index
2
 
Publications
7
 
Co-authors
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)