A causal machine learning system that continuously learns, is data and resource efficient, is transparent, can seamlessly change goals, and works across a range of deterministic grid world environments. It is a practical alternative to traditional reinforcement learning.
Go to this Github repo to see the code, user’s documentation and information on how to contribute to the project.