MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
This project offers a collection of tutorials and code examples to help you understand and implement reinforcement learning algorithms. It covers a range of methods from basic Q-learning to advanced techniques like Deep Q Networks and Policy Gradients. Researchers, students, or engineers interested in training intelligent agents to make decisions in dynamic environments would find this useful.
9,435 stars. No commits in the last 6 months.
Use this if you are an AI/ML practitioner or student looking for practical, code-based explanations of reinforcement learning algorithms to build intelligent systems.
Not ideal if you are looking for a plug-and-play reinforcement learning library for immediate application without diving into the underlying algorithms.
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Mar 31, 2024
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