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HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios

HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios

31 May 2024
Mingyang Jiang
Yueyuan Li
Songan Zhang
Siyuan Chen
Chunxiang Wang
Ming Yang
ArXivPDFHTML

Papers citing "HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios"

4 / 4 papers shown
Title
Graph-based Path Planning with Dynamic Obstacle Avoidance for Autonomous Parking
Graph-based Path Planning with Dynamic Obstacle Avoidance for Autonomous Parking
Farhad Nawaz
Minjun Sung
Darshan Gadginmath
Jovin D'sa
S. Bae
David Isele
Nadia Figueroa
Nikolai Matni
Faizan M. Tariq
52
0
0
17 Apr 2025
Embodied Escaping: End-to-End Reinforcement Learning for Robot Navigation in Narrow Environment
Han Zheng
J. Zhang
Mingyang Jiang
Peiyuan Liu
Danni Liu
Tong Qin
Ming Yang
55
0
0
05 Mar 2025
RL-OGM-Parking: Lidar OGM-Based Hybrid Reinforcement Learning Planner for Autonomous Parking
RL-OGM-Parking: Lidar OGM-Based Hybrid Reinforcement Learning Planner for Autonomous Parking
Zhitao Wang
Zhe Chen
Mingyang Jiang
Tong Qin
Ming Yang
60
1
0
26 Feb 2025
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
143
1,599
0
02 Feb 2020
1