definition you don't want to do any reward shaping because this will constrain your policy to the behavior of humans which is not exactly optimal in every situation so the situation that we're in right now is that we know that it's really hard to train in a sparsely setting but at the same time it's also very tricky to shape a reward function and we don't always want to do that and to end this video I would like to note that a lot of media stories picture reinforcement learning as some kind of a magical AI sauce that lets the agent