3-CC Fatigue Control using AMP

This work explores training a control policy for 3-CC fatigue-restricted characters using AMP (adversarial motion priors). It investigates whether GAN-based learning can generate more stylized policies, including with larger datasets or under specific physical constraints.

More details will be updated soon.