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

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

2 February 2024
Rainer Trauth
Alexander Hobmeier
Johannes Betz
ArXiv (abs)PDFHTMLGithub (64★)

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

2 / 2 papers shown
Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning
Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning
Korbinian Moller
Roland Stroop
Mattia Piccinini
Alexander Langmann
Johannes Betz
162
0
0
29 Sep 2025
Momentum-constrained Hybrid Heuristic Trajectory Optimization Framework with Residual-enhanced DRL for Visually Impaired Scenarios
Momentum-constrained Hybrid Heuristic Trajectory Optimization Framework with Residual-enhanced DRL for Visually Impaired Scenarios
Yuting Zeng
Zhiwen Zheng
You Zhou
JiaLing Xiao
Yongbin Yu
Manping Fan
Bo Gong
Liyong Ren
240
0
0
19 Sep 2025
1
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