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.

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 (To appear.),  Aug 2025.

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

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.

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.

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.

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.

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,  .