19 citations · 22 across the 6 of their papers we have counts for
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cs.RO2026
Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization
Raphael Trumpp, Denis Hoornaert, Mirco Theile +1
Residual policy learning (RPL), in which a learned policy refines a static base policy using deep reinforcement learning (DRL), has shown strong performance across various robotic…
cs.RO2023
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars
Raphael Trumpp, Denis Hoornaert, Marco Caccamo
The development of vehicle controllers for autonomous racing is challenging because racing cars operate at their physical driving limit. Prompted by the demand for improved perform…