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Machine Learning Summit: Walk Lizzie, walk! Emergent physics-based animation through Reinforcement Learning

Jorge del Val Santos  (Senior Research Engineer, Embark Studios)

Pass Type: All Access Pass, Summits Pass - Get your pass now!

Topic: Programming

Format: Session

Vault Recording: TBD

Audience Level: Yes

Can you animate a user-created creature in a completely physics-based, interactive fashion? How about a hundred? In this talk the speaker will present a new reinforcement learning approach to automatic animation. With the click of a button and no animators involved, the speaker will show how to give life to digital creations by allowing them to learn by themselves. Under this paradigm, animation is no longer a starting point, but an emergent property of the anatomy: the problem of locomotion becomes more akin to robotics than to classical animation. Join this journey through the problems, methods, and results towards our vision: empowering anyone to create.


The audience will develop insight into the problem of generic physics-based animation and new practical paradigms to solve it; specifically, an approach involving machine learning techniques.

Intended Audience

All levels of AI/Gameplay/Animation programmers and technical animators will probably gain the most value from this talk, although no prior knowledge is required.