the network produces an output action we either up or down but the only difference here is that now we don't actually know the target label so we don't know in any situation whether we should have gone up or down because we don't have a data set to train on and in reinforcement learning the network that transforms input frames to output actions is called the policy Network now one of the simplest ways to train a policy network is a method called policy gradients so the approach in policy gradients is that you