In MBRL, added elements like learned dynamics and reward styles, normally known as world styles, are applied. These designs can encode accurate states into latent representations. Leveraging these entire world models, PWM effectively optimizes procedures making use of FoG, reducing variance and bettering sample effectiveness even in complex environ