Spot Boot Camp | Auto-Curriculum
Channel: m baske
Date: 2021-09-02

This video shows the final training stage for my "Angry AI v3" project. After an initial round of gait imitation learning, the agent has to master a curriculum consisting of various platform types. The difficulty for each type is parameterized and increases if the robot reaches the orange target within a given number of steps - or decreases if it doesn't. The curriculum alternates between the current maximum and a lower randomized difficulty for better generalization. On the flat/neutral platform, the agent is rewarded for matching the randomized target speed and body height values. The other platform types have to be finished as quickly as possible. The resulting policy is quite robust and can handle pretty much anything you throw at it (literally). 

- Spot Mini by Greg McKechnie 
https://sketchfab.com/mckechniegreg6


#mlagents