Machine Learning, Reinforcement Learning, AI, Artificial Intelligence.
through the Agent-Environment Interface. Agent takes an action at timestep t in the environment It then receives a reward and new state at the next timestep The set of all states, actions, and rewards can be represented as S, A, and, R A trajectory is a sequential list of states, actions, and