env_building.yml

# Install or update environment
# conda env update --file env_building.yml --prune
#
# Remove environment
# conda remove --name sustaingym_building --all
#
# Notes
# - Ray 2.8:
#   - officially only supports up to Python 3.10 (see https://docs.ray.io/en/latest/ray-overview/installation.html)
#   - only supports gymnasium 0.28.1 (see https://github.com/ray-project/ray/blob/ray-2.8.0/python/setup.py#L305)
#   - officially seems to only supports pettingzoo 1.23.1 (see https://github.com/ray-project/ray/blob/ray-2.7.1/python/requirements/ml/rllib-test-requirements.txt),
#     but empirically seems to work with pettingzoo 1.24.*
#
# last updated: December 7, 2023
name: sustaingym_building
channels:
- pytorch
- nvidia
- conda-forge
dependencies:
- python=3.10.*
- cvxpy=1.4.*         # for MPC controller
- flake8              # Optional, for code linting
- ipympl              # Optional, for Jupyter / VSCode notebooks
- ipykernel           # Optional, for Jupyter / VSCode notebooks
- matplotlib
- mypy                # Optional, for type checking
- numpy
- pandas
- pip
- pvlib
- pytorch=2.1.*
- scikit-learn
- scipy
- seaborn
- tqdm                # Optional, for progress bars

# for GPU. comment out for CPU-only.
- pytorch-cuda=11.8   # for PyTorch 2

- pip:
  - gymnasium==0.28.1
  - pettingzoo==1.24.*
  - ray[rllib]==2.8.*
  - stable_baselines3>=2