Deep Learning Essentials

Reinforcement learning with Q-learning example

In this section, we will implement reinforcement learning with a TensorFlow-based Q-learning algorithm. We will look at a popular game, FrozenLake, which has an inbuilt environment in the OpenAI gym package. The idea behind the FrozenLake game is quite simple. It consists of 4 x 4 grid blocks, where each block can have one of the following four states:

• S: Starting point/Safe state
• F: Frozen surface/Safe state
• H: Hole/Unsafe state
• G: Goal/Safe or Terminal state

In each of the 16 cells, you can use one of the four actions, namely up/down/left/right, to move to a neighboring state. The goal of the game is to start from state S and end at state G. We will show how we can use a neural network-based ...