Diffusion-Based Reinforcement Learning for Multi-Objective Adaptive Control in Autonomous Car-Following
This paper investigates adaptive multi-objective control for autonomous car-following using model predictive control (MPC). Conventional MPC with predefined cost-function parameters has limited adaptability in balancing safety and comfort under varying traffic conditions. To address this limitation, an intent-driven ad...