https://github.com/huixxi/tensorflow2.0-for-deep-reinforcement-learning

TensorFlow 2.0 for Deep Reinforcement Learning. :octopus:
https://github.com/huixxi/tensorflow2.0-for-deep-reinforcement-learning

deep-learning deep-reinforcement-learning reinforcement-learning tensorflow

Last synced: 1 day ago
JSON representation

TensorFlow 2.0 for Deep Reinforcement Learning. :octopus:

• Host: GitHub
• URL: https://github.com/huixxi/tensorflow2.0-for-deep-reinforcement-learning
• Owner: Huixxi
• Created: 2018-01-15T03:17:12.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2023-08-30T13:20:58.000Z (about 1 year ago)
• Last Synced: 2023-10-20T20:16:16.326Z (about 1 year ago)
• Topics: deep-learning, deep-reinforcement-learning, reinforcement-learning, tensorflow
• Language: Python
• Homepage:
• Size: 3.73 MB
• Stars: 82
• Watchers: 4
• Forks: 27
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
## TensorFlow 2.0 for Deep Reinforcement Learning



  

This is a simple tutorial of deep reinforcement learning with tensorflow 2.0, which has simple demos and detailed model implementations to help beginners get start in this research region.  

### How to install TensorFlow 2.0

```

$ conda create --name tensorflow_2_0

$ conda activate tensorflow_2_0

$ pip install tensorflow==2.0.0-b1 # pip install tensorflow-gpu==2.0.0-b1 for GPU version

```

Test:

```

>>> import tensorflow as tf

>>> tf.__version__

'2.0.0-beta1'

```

### TensorFlow 2.0 Tutorial

* [Official Tutorial](https://www.tensorflow.org/tutorials/)  

* [Hands-on ML2](https://github.com/ageron/handson-ml2)  

* [Summary of some of the new features in TensorFlow 2.0](https://colab.research.google.com/github/zaidalyafeai/Notebooks/blob/master/TF_2_0.ipynb)  

* [Model building with TensorFlow 2.0](https://colab.research.google.com/drive/17u-pRZJnKN0gO5XZmq8n5A2bKGrfKEUg)  

### Python Tutorial

* Welcome to visit my [Fast Py3 Repo](https://github.com/Huixxi/Fast-Py3). This is a fast python3 tutorial.

### Gym Tutorial

* [Basic Gym](https://github.com/Huixxi/TensorFlow2.0-for-Deep-Reinforcement-Learning/blob/master/tutorial_blogs/gym_tutorial.md)

### Reinforcement Learning

Book notes ...

### Deep Reinforcement Learning

* Rainbow

([Building Rainbow Step by Step with TensorFlow2.0](https://github.com/Huixxi/TensorFlow2.0-for-Deep-Reinforcement-Learning/blob/master/tutorial_blogs/Building_Rainbow_Step_by_Step_with_TensorFlow2.0.md))

  * [Deep Q-Network](https://github.com/Huixxi/TensorFlow2.0-for-Deep-Reinforcement-Learning/blob/master/01_dqn.py)

  * +[Double DQN](https://github.com/Huixxi/TensorFlow2.0-for-Deep-Reinforcement-Learning/blob/master/02_ddqn.py)

  * +[Prioritized Experience Replay](https://github.com/Huixxi/TensorFlow2.0-for-Deep-Reinforcement-Learning/blob/master/03_priority_replay.py) 

  * +[Dueling Network](https://github.com/Huixxi/TensorFlow2.0-for-Deep-Reinforcement-Learning/blob/master/04_dueling.py)

  * +[Multi-Step Q-Learning](https://github.com/Huixxi/TensorFlow2.0-for-Deep-Reinforcement-Learning/blob/master/05_multistep_td.py)

  * +[Distributional RL](https://github.com/Huixxi/TensorFlow2.0-for-Deep-Reinforcement-Learning/blob/master/06_distributional_rl.py)(Failed Yet, But I Will Try My BestTo Make It Work Soon!)

  * +[Noisy Network](https://github.com/Huixxi/TensorFlow2.0-for-Deep-Reinforcement-Learning/blob/master/07_noisynet.py)(Failed Yet, But I Will Try My Best To Make It Work Soon!)

### Paper Reading

* Welcome to visit my personal blog website: [HU's Blog](https://huixxi.github.io/). There is a list of **RL Paper Overviews**.