Lukas M. Schmidt

Orcid: 0000-0003-2182-4263

According to our database1, Lukas M. Schmidt authored at least 3 papers between 2021 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021


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