Thanks for putting this together, I'm excited to play around with my own policies on a benchmark like this.
I was going through the "Get Started" instructions but they seem a bit unclear. Here is what I did:
pip install loco-mujoco
conda run loco-mujoco-download # where do these get downloaded too? Nice to say in the output
git clone https://github.com/robfiras/ls-iq.git
cd ls-iq && python examples/simple_mushroom_env/example_unitree_a1.py
(loco-mujoco) ➜ ls-iq git:(main) python examples/simple_mushroom_env/example_unitree_a1.py
python: can't open file '/Users/michaelmentele/Desktop/ai-recitations-and-applications/loco-mujoco/ls-iq/examples/simple_mushroom_env/example_unitree_a1.py': [Errno 2] No such file or directory
(loco-mujoco) ➜ ls-iq git:(main) ls examples
01_LSIQ
(loco-mujoco) ➜ ls-iq git:(main) ls examples/01_LSIQ
01_episode 02_episode_5 03_episode_10 04_episode_25
(loco-mujoco) ➜ ls-iq git:(main) ls examples/01_LSIQ/02_episode_5
launcher.py lsiq_experiments.py
Thanks for putting this together, I'm excited to play around with my own policies on a benchmark like this.
I was going through the "Get Started" instructions but they seem a bit unclear. Here is what I did:
I also tried to do the setup with this colab https://colab.research.google.com/drive/1qIGziyQtQb6VJAZLtI2btRve-xjMI3Bg?usp=sharing