Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
the environment engage in interactions at discrete time steps, denoted as t = 0, 1, 2, 3, and so forth. At each time step t, the agent receives a representation of the environment’s state, denoted as St ∈ S, based on which it selects an action, At ∈ A(s). Subsequently, one-time step later,