output
20202024
most citedCARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion

47 citations

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Showing 2020Show all

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cs.CV2020★ 4 cited

TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions

Daniel Stanley Tan, Yi-Chun Chen, Trista Pei-Chun Chen +1

In this paper, we propose a framework called TrustMAE to address the problem of product defect classification. Instead of relying on defective images that are difficult to collect…

cs.LG2020★ 47 cited

CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion

Ying-Sheng Luo, Jonathan Hans Soeseno, Trista Pei-Chun Chen +1

Motion synthesis in a dynamic environment has been a long-standing problem for character animation. Methods using motion capture data tend to scale poorly in complex environments b…