Reinforcement Learning for Fun
How to apply reinforcement learning to play games and have fun.
Besides providing our custom map using the desc parameter, it’s also possible to create random maps for the Frozen Lake environment, as shown in the code below:
Continue reading “How to create FrozenLake random maps”In this article, we are going to learn how to create and explore the Frozen Lake environment using the Gym library, an open source project created by OpenAI used for reinforcement learning experiments. The Gym library defines a uniform interface for environments what makes the integration between algorithms and environment easier for developers. Among many ready-to-use environments, the default installation includes a text-mode version of the Frozen Lake game, used as example in our last post.
Continue reading “Gym Tutorial: The Frozen Lake”The OpenAI/Gym project offers a common interface for different kind of environments so we can focus on creating and testing our reinforcement learning models. In this tutorial I show how to install Gym using the most common package managers for Python.
Continue reading “How to install OpenAI Gym”