R
Reinforcement-learning-with-tensorflow
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
★9.5kstars
Python
MIT
Updated: 2d ago
📋 Project at a Glance
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What's this?A a3c/actor-critic tool in the Learning & Resources category, built with Python, open-source
Who made it?Maintained by MorvanZhou team, 9.5K⭐ on GitHub, #265 out of 3640 in Learning & Resources
Why does it exist?As the Learning & Resources landscape evolved, the MorvanZhou team identified the need for better a3c solutions. Reinforcement-learning-with-tensorflow was created to simplify actor-critic workflows.
What can it do?Key use cases: asynchronous-advantage-actor-critic, ddpg, deep-deterministic-policy-gradient
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/MorvanZhou/Reinforcement-learning-with-tensorflow | 官网 https://mofanpy.com/tutorials/machine-learning/reinforcement-learning/
🔗 github.com/MorvanZhou/Reinforcement-learning-with-tensorflow | 官网 https://mofanpy.com/tutorials/machine-learning/reinforcement-learning/
Topics
a3cactor-criticasynchronous-advantage-actor-criticddpgdeep-deterministic-policy-gradientdeep-q-networkdouble-dqndqndueling-dqnmachine-learningpolicy-gradientppoprioritized-replayproximal-policy-optimizationq-learningreinforcement-learningsarsasarsa-lambdatensorflow-tutorialstutorial