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Raphael Trumpp
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2020 – today
- 2024
- [j1]Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli:
Learning to Generate All Feasible Actions. IEEE Access 12: 40668-40681 (2024) - [i6]Benjamin David Evans, Raphael Trumpp, Marco Caccamo, Hendrik Willem Jordaan, Herman Arnold Engelbrecht:
Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks. CoRR abs/2402.18558 (2024) - [i5]Raphael Trumpp, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, Marco Caccamo:
RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning. CoRR abs/2403.07129 (2024) - 2023
- [c3]Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo:
Efficient Learning of Urban Driving Policies Using Bird'View State Representations. ITSC 2023: 4181-4186 - [c2]Raphael Trumpp, Denis Hoornaert, Marco Caccamo:
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars. IV 2023: 1-6 - [i4]Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli:
Learning to Generate All Feasible Actions. CoRR abs/2301.11461 (2023) - [i3]Raphael Trumpp, Denis Hoornaert, Marco Caccamo:
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars. CoRR abs/2302.07035 (2023) - [i2]Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo:
Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations. CoRR abs/2305.19904 (2023) - 2022
- [c1]Raphael Trumpp, Harald Bayerlein, David Gesbert:
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance. IV 2022: 331-336 - 2021
- [i1]Raphael Trumpp, Harald Bayerlein, David Gesbert:
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance. CoRR abs/2109.15266 (2021)
Coauthor Index
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last updated on 2024-04-24 23:03 CEST by the dblp team
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