We are going to assume that the state used by the agent is a sufficient statistic of the history, in that, in order to predict the future, you only need to know about the current state of the environment. This implies that the future is independent of the past given the present (if you have…

There are 4 key aspects of Reinforcement Learning : 1. Optimization There are different types of decision to be made, and we want to make the best possible decisions, or atleast good decisions 2. Delayed Consequences Let’s say you’re playing Mario. In this case, the agent is Mario, and if we let him take mushroom…