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Neural-iLQR: A Learning-Aided Shooting Method for Trajectory
  Optimization

Neural-iLQR: A Learning-Aided Shooting Method for Trajectory Optimization

21 November 2020
Zilong Cheng
Yuling Li
Kai Chen
Jun Ma
Tong-heng Lee
ArXivPDFHTML

Papers citing "Neural-iLQR: A Learning-Aided Shooting Method for Trajectory Optimization"

3 / 3 papers shown
Title
Chance-Aware Lane Change with High-Level Model Predictive Control
  Through Curriculum Reinforcement Learning
Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning
Yubin Wang
Yuling Li
Y. Massoud
Hakim Ghazzai
Jun Ma
19
5
0
07 Mar 2023
Constraint Handling in Continuous-Time DDP-Based Model Predictive
  Control
Constraint Handling in Continuous-Time DDP-Based Model Predictive Control
Jean-Pierre Sleiman
Farbod Farshidian
Marco Hutter
29
26
0
15 Jan 2021
Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control
  of Connected Autonomous Vehicles
Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control of Connected Autonomous Vehicles
Xiaoxue Zhang
Zilong Cheng
Jun Ma
Sunan Huang
F. Lewis
Tong-heng Lee
31
32
0
01 Jan 2021
1