How to Build a Lightweight Vision-Language-Action-Inspired Embodied Agent with Latent World Modeling and Model Predictive Control
In this tutorial, we construct an embodied simulation imaginative and prescient agent that learns to understand, plan, predict, and replan immediately from pixel observations. We create a totally NumPy-rendered grid world through which the agent observes RGB frames reasonably than symbolic state variables, enabling us to simulate a simplified Vision-Language-Action-style pipeline. We practice a light-weight…
