A Deep Dive into Reinforcement Learning: Q-Learning and Deep Q-Learning on a 10x10 FrozenLake Environment
18 min readFeb 1, 2023
Introduction
Reinforcement Learning is a machine learning method in which an algorithm makes decisions and takes actions within a given environment and learns what appropriate decisions to make through trial-and-error actions. Before being united in the research in the 1990s, the academic discourse for Reinforcement Learning pursued three concurrent ‘threads’ of research (trial and error, optimal control, and temporal difference). Reinforcement…
