How to Post-Train Autonomous Vehicle Models in Closed-Loop with NVIDIA Alpamayo | NVIDIA Technical Blog

What this post added

This post introduces NVIDIA Alpamayo and its AlpaGym framework for closed-loop reinforcement learning post-training of autonomous vehicle models. It details the installation and configuration of AlpaGym, the definition of closed-loop rewards, and the process of launching closed-loop training. The framework connects AlpaSim simulator rollouts to the policy training loop, allowing models to learn from their own actions in simulation, which is crucial for addressing compounding errors in autonomous driving. The post also outlines how to export post-trained checkpoints for downstream use.