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Monday, December 21, 2020
Python Snake AI Tutorial - Reinforcement Learning - Deep Q Learning (PyTorch + Pygame)
In this Python Reinforcement Learning Tutorial series we teach an AI to play Snake! We build everything from scratch using Pygame and PyTorch. In this first part I'll show you the project and teach you some basics about Reinforcement Learning and Deep Q Learning. ๐ช Code faster with Kite, AI-powered autocomplete that integrates into VS Code! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=pythonengineer&utm_content=description-only ๐๐ Get monthly Python and ML Tips: https://www.python-engineer.com/newsletter/ ๐๐ SUPPORT ME ON PATREON: https://www.patreon.com/patrickloeber If you enjoyed this video, please subscribe to the channel! More Resources about Deep Q Learning: https://www.freecodecamp.org/news/diving-deeper-into-reinforcement-learning-with-q-learning-c18d0db58efe/ https://www.freecodecamp.org/news/an-introduction-to-deep-q-learning-lets-play-doom-54d02d8017d8/ https://towardsdatascience.com/how-to-teach-an-ai-to-play-games-deep-reinforcement-learning-28f9b920440a You can find me here: Website: https://www.python-engineer.com Twitter: https://twitter.com/python_engineer GitHub: https://github.com/python-engineer Music: https://www.bensound.com/ #Python
Labels:
Agent,
AI,
Artificial Intelligence,
deep learning,
Deep Q Learning,
DQN,
Machine Learning,
Neural Net,
Pygame,
Python,
PyTorch,
Reinforcement Learning,
Reward,
RL,
Snake AI,
Teach AI To Play
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