most citedA Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving

9 citations · 9 across the 1 of their papers we have counts for

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1 paper

cs.RO2024★ 9 cited

A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving

Rainer Trauth, Alexander Hobmeier, Johannes Betz

This study introduces a novel approach to autonomous motion planning, informing an analytical algorithm with a reinforcement learning (RL) agent within a Frenet coordinate system.…