Mirco Theile
Scholar

Mirco Theile

Google Scholar ID: 88rL5TUAAAAJ
Postdoc, Technical University of Munich
reinforcement learningUAVscyber-physical systemscontrol systems
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Citations & Impact
All-time
Citations
734
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
21
list available
Contact
Emailmirco.theile@tum.deCVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
4 items
Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization
2026
Cited
0
Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems
2025
Cited
0
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning
2025
Cited
0
Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement Learning
2025
Cited
0
Resume (English only)
Education
  • Awarded Dr. rer. nat. (Ph.D.) in Computer Science from Technical University of Munich (TUM) in July 2024
  • Received M.Sc. in Electrical Engineering and Information Technology from TUM in 2018
  • Spent one semester as an exchange student at KTH Royal Institute of Technology, Stockholm
  • Conducted Master’s thesis as a Visiting Scholar at University of Illinois at Urbana–Champaign (UIUC) on long-endurance solar UAVs
  • Earned B.Sc. in Electrical Engineering and Information Technology from TU Dortmund in 2015
Co-authors
21 total
Marco Caccamo
Marco Caccamo
Professor, Department of Mechanical Engineering, Technical University of Munich (TUM)
Co-author 2
Co-author 2
Co-author 3
Co-author 3
David Gesbert
David Gesbert
Professor of Electrical Engineering, Dean and Director at EURECOM
Co-author 5
Co-author 5
Alberto Sangiovanni Vincentelli
Alberto Sangiovanni Vincentelli
Professor of EECS, University of California, Berkeley
Binqi Sun
Binqi Sun
Technical University of Munich
Simon Yu
Simon Yu
Doctoral Candidate in Electrical and Computer Engineering, University of Illinois Urbana-Champaign