Enhancing Autonomous Driving with AI

This chapter explores the integration of temporal difference learning with model predictive control to improve autonomous driving through video generative modeling. It discusses challenges in visual information representation and the optimization of neural architectures while addressing the complexities of simulator technology and reinforcement learning. Additionally, the chapter emphasizes the importance of diverse datasets and benchmarks for refining imitation learning models in real-world driving scenarios.