negative rewards are slowly going to be filtered out and the actions that leads to positive rewards are going to become more and more likely so in a sense our agent is learning how to play the game of pong now I know this was a very quick introduction to reinforcement learning so if you want to read up a bit and spend a little bit more time in thinking about the details I really recommend to read and rake carpet these blog post pong from pixels it does a phenomenal job at explaining all the details all right so we can use