Citylearn

**Full Changelog**: https://github.com/intelligent-environments-lab/CityLearn/compare/v1.4.3...v1.4.4

**Full Changelog**: https://github.com/intelligent-environments-lab/CityLearn/compare/v1.4.2...v1.4.3

**Full Changelog**: https://github.com/intelligent-environments-lab/CityLearn/compare/v1.4.1...v1.4.2

What's Changed
* Space heating by kingsleynweye in https://github.com/intelligent-environments-lab/CityLearn/pull/9
* Bump lxml from 4.6.3 to 4.6.5 by dependabot in https://github.com/intelligent-environments-lab/CityLearn/pull/11
* Bump pillow from 8.4.0 to 9.0.0 by dependabot in https://github.com/intelligent-environments-lab/CityLearn/pull/13
* Bump ipython from 7.28.0 to 7.31.1 by dependabot in https://github.com/intelligent-environments-lab/CityLearn/pull/14
* Merging master branch with updates from CityLearn Challenge 2022 releases and other post-challenge releases by kingsleynweye in https://github.com/intelligent-environments-lab/CityLearn/pull/34

New Contributors
* dependabot made their first contribution in https://github.com/intelligent-environments-lab/CityLearn/pull/11

**Full Changelog**: https://github.com/intelligent-environments-lab/CityLearn/compare/v1.4.0...v1.4.1

**Full Changelog**: https://github.com/intelligent-environments-lab/CityLearn/compare/v1.3.6...v1.4.0

This release added a grid cost to the CityLearn Challenge 2022. The grid score is the average of a ramping and (1 - load factor) scores evaluated at the aggregated district net electricity consumption level. The purpose of adding this grid score is to encourage participants to seek a cooperative multi-agent solution in order to achieve grid-level objectives.

**Full Changelog**: https://github.com/intelligent-environments-lab/CityLearn/compare/v1.3.5...v1.3.6