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Maximilian Igl

Nvidia (United Kingdom)(GB)

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38

Papers

503

Citations

13

h-index

16

i10-index

Maximilian Igl is an academic researcher from Nvidia (United Kingdom). The author has contributed to research in topics: Reinforcement Learning in Robotics & Autonomous Vehicle Technology and Safety & Domain Adaptation and Few-Shot Learning. The author has an h-index of 13, co-authored 33 publications.

Research Topics

Reinforcement Learning in Robotics Autonomous Vehicle Technology and Safety Domain Adaptation and Few-Shot Learning Adversarial Robustness in Machine Learning Data Stream Mining Techniques

Papers by this author

works

Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation

2022 · 2022 International Conference on Robotics and Automation (ICRA) · 43 citations

https://doi.org/10.1109/icra46639.2022.9811990

Maximilian Igl Dae Woo Kim Alex Kuefler Paul Mougin

LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving

2025 · ArXiv.org · 0 citations

Long Nguyen Micha Fauth Bernhard Jaeger Daniel Dauner

Research topics

topics

Reinforcement Learning in Robotics

Autonomous Vehicle Technology and Safety

Domain Adaptation and Few-Shot Learning

Adversarial Robustness in Machine Learning

Data Stream Mining Techniques

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