version 0.4.1

v0.4.1

Update pyproject.toml

version 0.3.0

Reinforcement learning used to find a optimal cooling policy. Addition of constant gain parameter to offset continuous energy loss.

version 0.2.0

Model now includes parameters for heating input and timings.

version 0.1.0

Increased modularisation plus addition of pytorch nn.model framework for use with gradient decent optimisers.

v0.0.2

Restructuring to work with PYPI

Version 0.0.1

Initial release. Test if auto upload to PYPI works