forth in reinforcement learning your robot chef might be busy in the kitchen for half hour comes out with its meal and you might say good or bad meal but that's not reflective of the last action their robots have took it's reflective that whole half and half an hour of working a kitchen that somehow result in a higher board or a low reward and now when that chef robot chef cooks multiple times and sometimes has good outcome sometimes bad outcomes you could start looking at what's common between the good outcomes what's common