Deep Learning & Optimal Control: what's the connection?
DL and OC are mutually influencing each other in scientific research nowadays.
Can we use control theory to improve the training of DNN?
Can we use DL to improve classical numerical algorithms?
Where should a planner wait if a list of possible targets are known(instead of a single deterministic one)?
What if information can be obtained gradually? Can the planner make robust plans?