Seonglae ChoLSD
Take changes in state distance into account for more complex and dynamic skills by incentivizing challenging behaviors.
Align the direction of skill vector and state change.
Limitation
euclidan distance based does not always consistent
Lipschitz-constrained Unsupervised Skill Discovery
We study the problem of unsupervised skill discovery, whose goal is to learn a set of diverse and useful skills with no external reward. There have been a number of skill discovery methods based...
https://arxiv.org/abs/2202.00914
