MorvanZhou/Reinforcement-learning-with-tensorflow
A collection of reinforcement learning tutorials covering basic to advanced RL algorithms with TensorFlow implementations.
Not currently ranked — collecting fresh signals.
star history
This repository contains tutorials on reinforcement learning algorithms ranging from basic Q-learning to advanced methods like PPO, A3C, and DDPG. All implementations are built with TensorFlow and include examples using OpenAI Gym environments. The tutorials progress from simple maze problems to complex continuous control tasks.
Frequently asked
- What is MorvanZhou/Reinforcement-learning-with-tensorflow?
- A collection of reinforcement learning tutorials covering basic to advanced RL algorithms with TensorFlow implementations.
- Is Reinforcement-learning-with-tensorflow open source?
- Yes — MorvanZhou/Reinforcement-learning-with-tensorflow is open source, released under the MIT license.
- What language is Reinforcement-learning-with-tensorflow written in?
- MorvanZhou/Reinforcement-learning-with-tensorflow is primarily written in Python.
- How popular is Reinforcement-learning-with-tensorflow?
- MorvanZhou/Reinforcement-learning-with-tensorflow has 9.5k stars on GitHub.
- Where can I find Reinforcement-learning-with-tensorflow?
- MorvanZhou/Reinforcement-learning-with-tensorflow is on GitHub at https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow.