These changes allow the addition of the energy cost term both in the calculation of the reward function and in the observation of the environment.
Motivation and Context
Incorporating energy cost into the reward function and environment observation enhances the agent's ability to balance performance with energy efficiency, which is vital for minimizing operational costs and environmental impact.
Types of changes
[ ] Bug fix (non-breaking change which fixes an issue)
[x] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to change)
Description
These changes allow the addition of the energy cost term both in the calculation of the reward function and in the observation of the environment.
Motivation and Context
Incorporating energy cost into the reward function and environment observation enhances the agent's ability to balance performance with energy efficiency, which is vital for minimizing operational costs and environmental impact.
Types of changes
Checklist:
autopep8
second level aggressive.isort
.cd docs && make spelling && make html
pass (required if documentation has been updated.)pytest tests/ -vv
pass. (required).pytype -d import-error sinergym/
pass. (required)Changelog: