Comparison of PPO and SAC Algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles

Comparison of PPO and SAC Algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles

Multiple vehicle collision avoidance strategies with safe lane changing strategy for vehicle control using learning base technique are the most crucial concern in autonomous driving system. Statistics shows that the latest autonomous driving systems are usually prone to rear-end collision. Rear-end...

Full description

Bibliographic Details
Main Authors: Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Md Arafatur, Rahman
Format: Conference or Workshop Item
Language:English
Published: IEEE 2021
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/33324/1/Comparison_of_PPO_and_SAC_Algorithms_Towards_Decision_Making_Strategies_for_Collision_Avoidance_Among_Multiple_Autonomous_Vehicles%20%281%29.pdf

Internet

http://umpir.ump.edu.my/id/eprint/33324/1/Comparison_of_PPO_and_SAC_Algorithms_Towards_Decision_Making_Strategies_for_Collision_Avoidance_Among_Multiple_Autonomous_Vehicles%20%281%29.pdf

Similar Items