300 lines of python code to demonstrate DDPG with Keras Overview This is the second blog posts on the reinforcement learning. In this project we will demonstrate how to use the Deep Deterministic Policy Gradient algorithm (DDPG) with Keras together to play TORCS (The Open Racing Car Simulator), a very interesting AI racing game and research platform. Installation Dependencies: Python 2.7 Keras 1.1
![Using Keras and Deep Deterministic Policy Gradient to play TORCS | Ben Lau](https://cdn-ak-scissors.b.st-hatena.com/image/square/72767addaf37764a503a94ab44188841f2416b3b/height=288;version=1;width=512/https%3A%2F%2Fyanpanlau.github.io%2Fimg%2Ftorcs%2F747.jpg)