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PlanNetX: Learning an Efficient Neural Network Planner from MPC for
  Longitudinal Control

PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control

29 April 2024
Jasper Hoffmann
Diego Fernandez Clausen
Julien Brosseit
Julian Bernhard
Klemens Esterle
M. Werling
Michael Karg
Joschka Boedecker
ArXivPDFHTML

Papers citing "PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control"

3 / 3 papers shown
Title
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
Rudolf Reiter
Jasper Hoffmann
D. Reinhardt
Florian Messerer
Katrin Baumgärtner
Shamburaj Sawant
Joschka Boedecker
Moritz Diehl
S. Gros
81
5
0
04 Feb 2025
Planning with Diffusion for Flexible Behavior Synthesis
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner
Yilun Du
J. Tenenbaum
Sergey Levine
DiffM
202
629
0
20 May 2022
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,632
0
02 Feb 2020
1