Teaching
Supervised Seminar Works 📚

Supervised Seminar Works 📚

Winter Semester 2023/2024

  • Jonathan Kock. Implementation of a Multi-Agent Imitation Learning Framework for Connected and Automated Vehicles (RWTH Aachen University).
  • Nico Nußbaum. Implementation of a Multi-Agent Deep Reinforcement Learning Framework for Connected and Automated Vehicles (RWTH Aachen University).
  • Zirui Bai. Multi-Agent Deep Reinforcement Learning for Connected and Automated Vehicles: A Review (RWTH Aachen University).

Summer Semester 2024

  • Colin Kubon. Investigating the Feasibility of Integrating Lanelet2 into CPM Lab (RWTH Aachen University).
  • Destay Desin Sahan. A Survey of Safe Reinforcement Learning for Autonomous Vehicles (RWTH Aachen University).

Winter Semester 2024/2025

  • Hannes Tettenborn. Survey of Attention Mechanisms in Reinforcement Learning for Motion Planning in Autonomous Driving (RWTH Aachen University).

  • Julian Büttner. Generating Testing Scenarios for Motion Planning of Connected and Automated Vehicles (RWTH Aachen University).

  • Lasse Jacob. Implementation of an Image-Based Observation Representation in SigmaRL (RWTH Aachen University).

Summer Semester 2025

  • WIP.