Introduction To Reinforcement Learning Summary — Part 2

Building on Part 1 of an introduction to reinforcement learning, we looked at the underlying logic of reinforcement learning for the algorithm to learn an optimal policy and to take better actions that lead to good outcomes.

We also looked at the Q-function, which helps to adjust the action value after performing it on a state based on the reward output.