[HTML][HTML] Design of a reinforcement learning-based lane keeping planning agent for automated vehicles

B Kővári, F Hegedüs, T Bécsi - Applied Sciences, 2020 - mdpi.com
Featured Application The presented method can be used as a real-time trajectory following
algorithm for autonomous vehicles using prediction based on lookahead information …

Design of a Reinforcement Learning-Based Lane Keeping Planning Agent for Automated Vehicles

B Kővári, F Hegedüs, T Bécsi - 2020 - agris.fao.org
Reinforcement learning-based approaches are widely studied in the literature for solving
different control tasks for Connected and Autonomous Vehicles, from which this paper deals …

Design of a Reinforcement Learning-Based Lane Keeping Planning Agent for Automated Vehicles

B Kővári, F Hegedüs, T Bécsi - Applied Sciences, 2020 - cir.nii.ac.jp
抄録< jats: p> Reinforcement learning-based approaches are widely studied in the literature
for solving different control tasks for Connected and Autonomous Vehicles, from which this …

Design of a Reinforcement Learning-Based Lane Keeping Planning Agent for Automated Vehicles.

B Kővári, F Hegedüs, T Bécsi - Applied Sciences (2076 …, 2020 - search.ebscohost.com
Abstract Featured Application: The presented method can be used as a real-time trajectory
following algorithm for autonomous vehicles using prediction based on lookahead …

Design of a Reinforcement Learning-Based Lane Keeping Planning Agent for Automated Vehicles.

B Kovari, F Hegedus, T Becsi - Applied Sciences, 2020 - go.gale.com
Reinforcement learning-based approaches are widely studied in the literature for solving
different control tasks for Connected and Autonomous Vehicles, from which this paper deals …

[PDF][PDF] Design of a Reinforcement Learning-Based Lane Keeping Planning Agent for Automated Vehicles

B Kovári, F Hegedüs, T Bécsi - academia.edu
Reinforcement learning-based approaches are widely studied in the literature for solving
different control tasks for Connected and Autonomous Vehicles, from which this paper deals …

Design of a Reinforcement Learning-Based Lane Keeping Planning Agent for Automated Vehicles

B Kővári, F Hegedüs - Applied Sciences, 2020 - search.proquest.com
Reinforcement learning-based approaches are widely studied in the literature for solving
different control tasks for Connected and Autonomous Vehicles, from which this paper deals …

[PDF][PDF] Design of a Reinforcement Learning-Based Lane Keeping Planning Agent for Automated Vehicles

B Kovári, F Hegedüs, T Bécsi - pdfs.semanticscholar.org
Reinforcement learning-based approaches are widely studied in the literature for solving
different control tasks for Connected and Autonomous Vehicles, from which this paper deals …