GitHub - keras-rl/keras-rl: Deep Reinforcement Learning for Keras.

This means that evaluating and playing around with different algorithms is easy. Of course you can extend keras-rl according to your own needs. You can use built-in Keras callbacks and metrics or define your own. Even more so, it is easy to implement your own environments and even algorithms by simply extending some simple abstract classes. You can find more information on each agent in the doc. If you want to run the examples, you'll also have to install: This is a very simple example and it should converge relatively quickly, so it's a great way to get started!