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Raphael Trumpp
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 10
Top Topics
Multi Agent Learning
Collision Avoidance
Efficient Learning
Autonomous Vehicles
Top Venues
CoRR
IV
ITSC
IEEE Access
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Publications
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Mirco Theile
,
Daniele Bernardini
,
Raphael Trumpp
,
Cristina Piazza
,
Marco Caccamo
,
Alberto L. Sangiovanni-Vincentelli
Learning to Generate All Feasible Actions.
IEEE Access
12 (2024)
Benjamin David Evans
,
Raphael Trumpp
,
Marco Caccamo
,
Hendrik Willem Jordaan
,
Herman Arnold Engelbrecht
Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks.
CoRR
(2024)
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
(2024)
Raphael Trumpp
,
Denis Hoornaert
,
Marco Caccamo
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars.
IV
(2023)
Raphael Trumpp
,
Martin Büchner
,
Abhinav Valada
,
Marco Caccamo
Efficient Learning of Urban Driving Policies Using Bird'View State Representations.
ITSC
(2023)
Raphael Trumpp
,
Martin Büchner
,
Abhinav Valada
,
Marco Caccamo
Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations.
CoRR
(2023)
Mirco Theile
,
Daniele Bernardini
,
Raphael Trumpp
,
Cristina Piazza
,
Marco Caccamo
,
Alberto L. Sangiovanni-Vincentelli
Learning to Generate All Feasible Actions.
CoRR
(2023)
Raphael Trumpp
,
Denis Hoornaert
,
Marco Caccamo
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars.
CoRR
(2023)
Raphael Trumpp
,
Harald Bayerlein
,
David Gesbert
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance.
IV
(2022)
Raphael Trumpp
,
Harald Bayerlein
,
David Gesbert
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance.
CoRR
(2021)