Deep Reinforcement Learning Course

⚠️ The new version of Deep Reinforcement Learning Course starts on October the 2nd 2020. ➑️ More info here ⬅️

Deep Reinforcement Course with Tensorflow and PyTorcch

Deep Reinforcement Learning Course is a free series of blog posts and videos πŸ†• about Deep Reinforcement Learning, where we'll learn the main algorithms, and how to implement them with Tensorflow.

πŸ“œThe articles explain the concept from the big picture to the mathematical details behind it. πŸ“Ή The videos explain how to create the agent with Tensorflow

Syllabus

πŸ“œ Part 1: Introduction to Reinforcement Learning ARTICLE

Part 2: Q-learning with FrozenLake

πŸ“œ ARTICLE // FROZENLAKE IMPLEMENTATION

πŸ“Ή Implementing a Q-learning agent that plays Taxi-v2 πŸš•

Part 3: Deep Q-learning with Doom

πŸ“œ ARTICLE // DOOM IMPLEMENTATION

πŸ“Ή Create a DQN Agent that learns to play Atari Space Invaders πŸ‘Ύ

Part 4: Policy Gradients with Doom

πŸ“œ ARTICLE // CARTPOLE IMPLEMENTATION // DOOM IMPLEMENTATION

πŸ“Ή Create an Agent that learns to play Doom deathmatch

Part 3+: Improvments in Deep Q-Learning

πŸ“œ ARTICLE// Doom Deadly corridor IMPLEMENTATION

πŸ“Ή Create an Agent that learns to play Doom Deadly corridor

Part 5: Advantage Advantage Actor Critic (A2C)

πŸ“œ ARTICLE

πŸ“Ή Create an Agent that learns to play Sonic

Part 6: Proximal Policy Gradients

πŸ“œ ARTICLE

πŸ‘¨β€πŸ’» Create an Agent that learns to play Sonic the Hedgehog 2 and 3

Part 7: Curiosity Driven Learning made easy Part I

πŸ“œ ARTICLE

Part 8: Random Network Distillation with PyTorch

πŸ‘¨β€πŸ’» A trained RND agent that learned to play Montezuma's revenge (21 hours of training with a Tesla K80

Any questions πŸ‘¨β€πŸ’»

If you have any questions, feel free to ask me:

πŸ“§: [email protected]

Github: https://github.com/simoninithomas/Deep_reinforcement_learning_Course

🌐 : https://simoninithomas.github.io/deep-rl-course/

Twitter: @ThomasSimonini

Don't forget to follow me on twitter, github and Medium to be alerted of the new articles that I publish

How to help πŸ™Œ

3 ways:

  • Clap our articles and like our videos a lot:Clapping in Medium means that you really like our articles. And the more claps we have, the more our article is shared Liking our videos help them to be much more visible to the deep learning community.
  • Share and speak about our articles and videos: By sharing our articles and videos you help us to spread the word.
  • Improve our notebooks: if you found a bug or a better implementation you can send a pull request.

Deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Deep_reinforcement_learning_course Info

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πŸ”— Homepage www.simoninithomas.com
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πŸ•’ Last Update 2 months ago
πŸ•’ Created 3 years ago
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😎 Author simoninithomas