Deep Reinforcement Learning: Zero to Hero is an engaging hands-on course covering foundational deep reinforcement learning algorithms. By the end, you’ll have implemented algorithms like DQN, SAC, and PPO while understanding the theory behind them. You’ll even train an AI to play Atari games and land on the Moon! The course makes the environment setup easy by using Miniconda for environment management and Poetry for dependencies. Visual Studio Code is recommended for coding, and YouTube videos offer further guidance. Just open the provided notebooks, follow along, and don’t hesitate to check the solutions folder if you need help. Let’s dive into the exciting world of deep reinforcement learning!
https://github.com/alessiodm/drl-zh