and then the agent specific items on how to achieve that another example could be a video game the score in the video game could be the reward and so the agents supposed to figure out how to play that game to maximize reward where are some challenges in reinforcement learning man let me contrast it with supervised links and supervised learning what happens is you have an input and a corresponding outputs and the way you supervise your learning systems bias named for this input that should be output for this other input that should be up and so