A minimal reinforcement-learning framework.
Actions represent steps that can be taken to transition a model from one state to another.
Agents facilitate the learning process for a model.
Error types associated with the reinforcement learning process.
States represent the disposition of a model at some point.
Statistics that aid in the learning process.