Artificial Intelligence, Reinforcement Learning, Machine Learning, Neural Networks, Markov Chains.
and feedback to execute actions and reach new states. Markov Decision Processes further explores the phenomenon of fully-observable environments and how each policy and process works. Most RL architectures are characterized as Markov Decision Processes. Which is More Promising: Data Science or