An Empirical Study of DDPG and PPO-Based Reinforcement Learning Algorithms for Autonomous Driving

An Empirical Study of DDPG and PPO-Based Reinforcement Learning Algorithms for Autonomous Driving

Autonomous vehicles mitigate road accidents and provide safe transportation with a smooth traffic flow. They are expected to greatly improve the quality of the elderly or people with impairments by improving their mobility due to the ease of access to transportation. Autonomous vehicles sense the dr...

Full description

Bibliographic Details
Main Authors: Sanjna Siboo, Anushka Bhattacharyya, Rashmi Naveen Raj, S. H. Ashwin
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Machine learning
deep reinforcement learning
deep deterministic policy gradient
continuous space
autonomous vehicles
proximal policy optimization
Online Access:https://ieeexplore.ieee.org/document/10309299/

Internet

https://ieeexplore.ieee.org/document/10309299/

Similar Items