Abstract
This project aims to develop and evaluate trajectory planning algorithms for autonomous vehicles operating in semi-structured environments by leveraging Deep Reinforcement Learning (DRL) techniques. The research seeks to compare the performance of these approaches with traditional methods, such as the graph-based D* algorithm and Model Predictive Control, with an emphasis on dynamic and h…