Advanced AI architectures that learn environment dynamics for simulation, prediction, and planning in robotics, gaming, and autonomous systems
World models are AI systems that learn internal representations of environment dynamics to simulate, predict, and plan future states. Unlike reactive systems that respond directly to observations, world models build predictive models of how environments work, enabling planning and decision-making critical for robotics, autonomous vehicles, and interactive AI systems.