A Journey Into Reinforcement Learning
Monte Carlo Methods
Representing, exploring, and resolving real-world scenarios with machine learning.
Published in
10 min readFeb 2, 2020
Welcome to another chapter to my studies of reinforcement learning. Up until this point, we’ve laid out the foundations of reinforcement learning, describing known environments using finite Markov Decision Processes (MDPs). This is all fine and dandy, until we stumble across a situation where everything about the environment might not be known. This is more interesting…