Deep Learning Tubes for Tube MPC

Understand

Learning-based control aims to construct models of a system to use for planning or trajectory optimization, e.g.

• in model-based reinforcement learning.
• In order to obtain guarantees of safety in this context, uncertainty must be accurately quantified.
• This uncertainty may come from errors in learning (due to a lack of data, for example), or may be inherent to the system.