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Hi, I manually controlled the ant robot from this example (https://github.com/NVIDIA-Omniverse/IsaacGymEnvs/blob/main/isaacgymenvs/tasks/ant.py) and recorded the corresponding joint angle values. I would like to know whether there is a way of integrating this per-existing knowledge into the agent training (such as the imitation learning from SB3: (https://imitation.readthedocs.io/en/latest/algorithms/gail.html)).
The text was updated successfully, but these errors were encountered:
We didn't try to add any IL papers yet because the main goal was the training from the scratch. But we can consider GAIL.
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Hi,
I manually controlled the ant robot from this example (https://github.com/NVIDIA-Omniverse/IsaacGymEnvs/blob/main/isaacgymenvs/tasks/ant.py) and recorded the corresponding joint angle values.
I would like to know whether there is a way of integrating this per-existing knowledge into the agent training (such as the imitation learning from SB3: (https://imitation.readthedocs.io/en/latest/algorithms/gail.html)).
The text was updated successfully, but these errors were encountered: