Piecewise

What is Piecewise?

A Michigan-style Learning Classifier System (LCS) library for Reinforcement Learning, written in Python.

It makes heavy use of object-oriented language features to provide a modular, extensible framework on which to build and test RL LCS algorithms.

The currently implemented algorithms are:

1. XCS (ternary rule representation)
2. XCSR (centre-spread rule representation)

Project Philosophy

The primary use case of Piecewise is for LCS researchers who are interested in:

1. Investigating modifications or extensions to existing LCS algorithms.
2. Running experiments with LCS algorithms on common environments, through a standardised and easy-to-use interface.