Hands-on guide to implementing deep RL models in code
Uses TensorFlow and OpenAI Gym for the tutorial
Full working code available in the linked GitHub repo
Transcript
The full implementation is available in lilianweng/deep-reinforcement-learning-gym In the previous two posts, I have introduced the algorithms of many deep reinforcement learning models. Now it is the time to get our hands dirty and practice how to implement the models in the wild. The implementation is gonna be built in Tensorflow and OpenAI gym environment. The full version of the code in this tutorial is available in [lilian/deep-reinforcement-learning-gym] .