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ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters. (arXiv:2205.01906v1 [cs.GR])
Web: http://arxiv.org/abs/2205.01906
May 5, 2022, 1:12 a.m. | Xue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine, Sanja Fidler
cs.LG updates on arXiv.org arxiv.org
The incredible feats of athleticism demonstrated by humans are made possible
in part by a vast repertoire of general-purpose motor skills, acquired through
years of practice and experience. These skills not only enable humans to
perform complex tasks, but also provide powerful priors for guiding their
behaviors when learning new tasks. This is in stark contrast to what is common
practice in physics-based character animation, where control policies are most
typically trained from scratch for each task. In this work, …
More from arxiv.org / cs.LG updates on arXiv.org
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