Machine Learning, Reinforcement Learning, AI, Artificial Intelligence.
and q* but instead the agent learns to approximate them through experience. Summary In this chapter, we’ve learned about Markov Decision Processes which are a formal way to define RL problems. We’ve learned about how they can be represented visually through the agent-environment interface. We then