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
• Hands-on ML2
• Summary of some of the new features in TensorFlow 2.0
• Model building with TensorFlow 2.0

Python Tutorial

• Welcome to visit my Fast Py3 Repo. This is a fast python3 tutorial.

Gym Tutorial

• Basic Gym

Reinforcement Learning

Book notes ...

Deep Reinforcement Learning

• Rainbow (Building Rainbow Step by Step with TensorFlow2.0)
  • Deep Q-Network
  • +Double DQN
  • +Prioritized Experience Replay
  • +Dueling Network
  • +Multi-Step Q-Learning
  • +Distributional RL(Failed Yet, But I Will Try My BestTo Make It Work Soon!)
  • +Noisy Network(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. There is a list of RL Paper Overviews.