The three main types of reinforcement learning are…
Model-based: An environment is created for the model to freely explore as it determines its parameters in order to craft the best path to success.
Policy-based: The relationships between potential strategies (policies), actions (values), and results are examined before the model determines which policy achieves the highest level of success.
Value-based: The current environment in relation to specific actions (values) is examined before the model determines which value achieves the highest level of success.