Robust and constrained reinforcement learning can provide additional safety or performance and incorporate prior data, such as imitation, rather than learning a task from scratch.

“like damage is really really really bad and having just a trans in expectation that damage and good things happen most of the time is often not good enough like you want stronger things where then suddenly you go into things like robust reinforcement learning or something like this or like what i do for my phd constraint reinforcement learning where effectively you do a little bit more just to get this little bit of an extra boost in”

“either safety or performance or just including prior data like imitation and we just say well I have actually lots of data around and I don't want to do open-heart surgery from scratch so I think it's very naive to think about this like the right way”