FIRM-WM: State-factorized factual-interventional recurrent modeling for reward-free visual planning

Reward-free latent world models can learn from offline videos and solve new image--goal tasks by optimizing actions through predicted latent futures. This setting places two demands on the planning state: its coordinates must be comparable with a goal image. Moreover, its dynamics must retain veloci