Crate rlr

A minimal reinforcement-learning framework.

Modules

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