simoninithomas/Deep_reinforcement_learning_Course
A free deep reinforcement learning course with Jupyter Notebook implementations covering DQN, PPO, A2C and other RL algorithms.

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This repository contains Jupyter Notebook implementations from a free deep reinforcement learning course. It teaches RL theory and practice using popular frameworks including TensorFlow, PyTorch, Stable Baselines3, and CleanRL. Students learn to train agents in various environments such as Minecraft, Doom, and classic Atari games, then publish their trained agents to the Hub.