gradients are going to do is that for every episode where we've got a positive reward we're going to use the normal gradients to increase the probability of those actions in the future but whenever we got a negative we're gonna apply the same gradient but we're gonna multiply it with minus one and this minus sign will make sure that in the future all the actions that we took in a very bad episode are going to be less likely in the future and so the result is that while training our policy network the actions that lead to