Expert demonstrations of Addressing Implicit Bias in Adversarial Imitation Learning, include: Hopper-v2, Walker2d-v2, HalfCheetah-v2 and Ant-v2
Steps to reproduce
1. Configure the conda environment based on the requirement.txt or environment_variable.env file. 2. Unzip the expert demonstrations compressed file and the MI-GAIL compressed file. 3. Place the unzipped expert demonstrations folder into the unzipped MI-GAIL folder. 4. Run the main.py file. 5. The run_MI-GAIL.sh file is used for batch training.