Raphael Trumpp

Address  

Chair of Cyber-Physical Systems in Production Engineering
School of Engineering and Design, Technical University of Munich
MW2102a, Boltzmannstraße 15, 85748 Garching b. München

Phone  

+49 89 289 55183

Email  

raphael.trumpp@tum.de

Profile  

Main Research

  • Residual policy learning and deep reinforcement learning
  • Methods for neural network pruning
  • Sim2real gap for learning-based methods
  • Applications: Autonomous driving (CARLA) and racing (F1TENTH)

Links  

         

Publications

Journals

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Mirco Theile and Lukas Dirnberger and Raphael Trumpp and Marco Caccamo and Alberto Sangiovanni-Vincentelli,  "Action Mapping for Reinforcement Learning in Continuous Environments with Constraints",  in Reinforcement Learning Journal,  Issue 6,  Aug 2025 (Presented at RLC 2025).

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Raphael Trumpp, Ansgar Schäfftlein, Mirco Theile, Marco Caccamo,  "Impoola: The Power of Average Pooling for Image-based Deep Reinforcement Learning",  in Reinforcement Learning Journal,  Vol. 6,  Aug 2025 (Presented at RLC 2025).

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Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli,  "Learning to Generate All Feasible Actions",  in IEEE Access,  Mar 2024.

Conferences

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Fabian Konstantinidis, Ariel Dallari Guerreiro, Raphael Trumpp, Moritz Sackmann, Ulrich Hofmann, Marco Caccamo, Christoph Stiller,  "From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving",  in IEEE International Conference on Intelligent Transportation Systems (ITSC),  Gold Coast, Australia,  Nov 2025.

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Raphael Trumpp, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, Marco Caccamo,  "RaceMOP: Mapless online path planning for multi-agent autonomous racing using residual policy learning",  in IEEE/RSJ International Conference on Intelligent Robots and Systems 2024,  Abu Dhabi, UAE,  Oct 2024.

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Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo,  "Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations",  in IEEE International Conference on Intelligent Transportation Systems 2023,  Bilbao, Spain,  Sep 2023.

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Raphael Trumpp, Denis Hoornaert, Marco Caccamo,  "Residual Policy Learning for Vehicle Control of Autonomous Racing Cars",  in IEEE Intelligent Vehicles Symposium 2023,  Anchorage, USA,  Jun 2023.

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Raphael Trumpp, Harald Bayerlein, David Gesbert,  "Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance",  in IEEE Intelligent Vehicles Symposium 2022,  Aachen, Germany,  Jun 2022.

Preprints

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Benjamin David Evans, Raphael Trumpp, Marco Caccamo, Felix Jahncke, Johannes Betz, Hendrik Willem Jordaan, Herman Arnold Engelbrecht,  "Unifying f1tenth autonomous racing: Survey, methods and benchmarks",  in arXiv,  .