problem and the main part the main issue is that the world is not deterministic okay so that it be to this picture of the three paradigms of running if you want reinforcement learning supervised running and soft supervising the difference is how much feedback information you give to the system at every trial or every sample here is just one scalar here it's just a few bits for example and here it's basically a whole video right it's a huge amount of information you give to the machine so the hope is that you can try and