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.
Frequently asked
- What is simoninithomas/Deep_reinforcement_learning_Course?
- A free deep reinforcement learning course with Jupyter Notebook implementations covering DQN, PPO, A2C and other RL algorithms.
- Is Deep_reinforcement_learning_Course open source?
- Yes — simoninithomas/Deep_reinforcement_learning_Course is an open-source project tracked on heatdrop.
- What language is Deep_reinforcement_learning_Course written in?
- simoninithomas/Deep_reinforcement_learning_Course is primarily written in Jupyter Notebook.
- How popular is Deep_reinforcement_learning_Course?
- simoninithomas/Deep_reinforcement_learning_Course has 3.9k stars on GitHub.
- Where can I find Deep_reinforcement_learning_Course?
- simoninithomas/Deep_reinforcement_learning_Course is on GitHub at https://github.com/simoninithomas/Deep_reinforcement_learning_Course.