# better way to do it, just create conda env with python=3.9.12, then install pip reqs
# that just works - bc then it can take exactly the versions it needs on the system it is on
protobuf==3.20.1
wheel==0.38.0
setuptools==65.5.0
gym==0.21.0
dm-control==1.0.2
dm-env==1.5
dm-tree==0.1.7
einops==0.6.0
hydra-core
matplotlib==3.5.1
lockfile==0.12.2
mujoco_py==2.0.2.5
numpy==1.22.3
omegaconf
pandas==1.4.2
seaborn==0.11.2
stable_baselines3==1.5.0
tensorflow==2.8.0
tqdm==4.64.0
transformers==4.39.1
wandb==0.14.0
gym[atari]==0.21.0
autorom[accept-rom-license]
stable-baselines3[extra]
ale-py==0.7.4
procgen
cloudpickle==2.1.0
datasets==2.10.1
autofaiss==2.15.8
fsspec==2022.1.0
git+https://github.com/denisyarats/dmc2gym.git
git+https://github.com/ml-jku/hopfield-layers
torch==2.2.2+cu121
torchvision==0.17.2+cu121
torchaudio==2.2.2+cu121
--extra-index-url https://download.pytorch.org/whl/cu121
torchmetrics==1.2.0
h5py==3.6.0
scikit-learn==1.1.3
gymnasium==0.28.1
popgym==1.0.5