down and what you will do while training is actually sample from the distribution so that you're not always going to repeat the same exact actions and this will allow your agent to sort of explore the environment a bit randomly and hopefully discover better rewards and better behavior now importantly because we want to enable our agent to learn entirely by itself the only feedback that we're gonna give it is the scoreboard in the game so whenever our agent manages to score a goal it will receive a reward of +1 and if the