How to teach a neural network to play a game using delayed gratification in 146 lines of Python code

Machine Learning

Artificial Intelligence

Neural Networks

Reinforcement Learning

Deep Q Learning

OpenAI Gym

Keras

Tensorflow

Bellman Equation

Basic knowledge of Python

Some of the most exciting advances in artificial intelligence have occurred by challeg neural networks to play games. I will introduce the concept of reinforcement learning, by teaching you to code a neural network in Python capable of delayed gratification.

We will use the NChain game provided by the Open AI institute. The computer gets a small reward if it goes backwards, but if it learns to make short term sacrifices by persistently pressing forwards it can earn a much larger reward. Using this example I will teach you Deep Q Learning - a revolutionary technique invented by Google DeepMind to teach neural networks to play chess, Go and Atari.

Anyone interested in machine learning



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