My notes on the second chapter of ‘Grokking Deep Reinforcement Learning’ by Miguel Morales. This post covers the components of the environment and how to model it using Markov Decision Processes (MDPs).
My notes on Deep Reinforcement Learning (DRL) based on the first chapter of the ‘Grokking Deep Reinforcement Learning’ by Miguel Morales.
This guide covers effective reading, model implementation, code validation, and the power of repetition.