simoninithomas/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
This course helps machine learning practitioners learn to build AI agents that can make decisions and achieve goals in complex virtual environments. You'll go from understanding core concepts to training agents using established libraries and environments like Minecraft or Space Invaders. The end goal is to equip you with the skills to develop and deploy intelligent agents for various simulated tasks.
3,904 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or data scientist looking to specialize in developing AI agents that learn through trial and error in interactive environments.
Not ideal if you are looking for a tool to solve a specific, immediate business problem rather than to learn the foundations and practical application of reinforcement learning.
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May 02, 2023
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