then we can use several techniques that handle uncertainty by to learn forward models for model-based control and reinforcement learning model base reinforcement random so my money currently is on energy based approaches latent variable models so that it can handle multi modality regularize rates and viable models to prevent this collapse problem in particular sparse latent variable models although the precise way how to make that sparse is now clear and then latent variable prediction through a trainable encoder that's what I'm