In MBRL, further elements for instance learned dynamics and reward designs, normally termed environment types, are employed. These versions can encode correct states into latent representations. Leveraging these entire world styles, PWM effectively optimizes guidelines using FoG, reducing variance and increasing sample effectiveness even in complic