Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning

Libin Liu
Libin Liu

ACM Trans. Graph., Volume 37, Issue 4, 2018, Pages 142:1-142:14.

Cited by: 32|Bibtex|Views1|DOI:https://doi.org/10.1145/3197517.3201315
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Other Links: dblp.uni-trier.de|academic.microsoft.com|dl.acm.org

Abstract:

Basketball is one of the world's most popular sports because of the agility and speed demonstrated by the players. This agility and speed makes designing controllers to realize robust control of basketball skills a challenge for physics-based character animation. The highly dynamic behaviors and precise manipulation of the ball that occur...More

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