Reinforcement Learning, Machine Learning, Policy, Data Science, Artificial Intelligence.
discussed here is based on the approach called “dynamic programming” which refers to a type of problem where the agent fully knows the environment’s dynamics (transition probabilities p(s’, r | s, a)). The agent uses this information to calculate value functions and policies based on their previous