Installation Guide¶
Our benchmark is installation-free, i.e., one does not need to run pip install -e .. This design choice is motivated by the fact that users may have multiple local environments which actually share numerous packages like torch, making it a waste of space to create another conda environment for running ODRL. Moreover, the provided packages may conflict with existing ones, posing a risk of corrupting the current environment. As a result, we do not offer a setup.py file. ODRL relies on some most commonly adopted packages, which should be easily satisfied: python==3.8.13, torch==1.11.0, gym==0.18.3, dm-control==1.0.8, numpy==1.23.5, d4rl==1.1, mujoco-py==2.1.2.14.
Basic Usage¶
To use our benchmark, clone the repository and then you can start the journey!
Install from Packages¶
Nevertheless, we totally understand that some users may still need the detailed list of dependencies, and hence we also include the requirement.txt in ODRL. To use it, run the following commands: