Using Keras and Deep Deterministic Policy Gradient to play TORCS | Ben Lau
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 Q-Network to Play FlappyBird | Ben Lau
200 lines of python code to demonstrate DQN with Keras Overview This project demonstrates how to use the Deep-Q Learning algorithm with Keras together to play FlappyBird. This article is intended to target newcomers who are interested in Reinforcement Learning. Installation Dependencies: (Update : 13 March 2017, code and weight file has been updated to support latest version of tensorflow and kera
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