Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
actions that the agent can take and the rewards that it will receive. The agent’s goal is to learn a policy, which is a mapping from states to actions that maximizes its cumulative reward over time. Therefore, the state is a crucial part of the reinforcement learning process, as it forms the basis