Ruihan Yang
Applied Scientist FAR at Amazon Fulfillment Technologies & Robotics
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolRuihan Yang is an applied scientist specializing in reinforcement learning and robotics, currently at Amazon Fulfillment Technologies & Robotics with nine years of research and engineering experience. He completed advanced degrees at UC San Diego and has a strong track record of internships at top labs—including AI2, where his Harmonic Mobile Manipulation work won Best Paper on Mobile Manipulation at IROS 2024. His projects span dexterous mobile manipulation and RL systems, and earlier work includes building Suphx, a leading Mahjong AI at Microsoft Research Asia. Based in San Francisco, Ruihan combines deep academic training (PhD-level research) with practical industry impact, shipping research into real-world robotic systems. He maintains an active public profile and code presence (RchalYang) and is always looking for opportunities to tackle interesting, high-impact problems.
9 years of coding experience
6 years of employment as a software developer
University of California, San DiegoBachelor's Degree, Software Engineering, GPA: 91 / 100, Bachelor's Degree, Software Engineering, GPA: 91 / 100 at Nankai UniversitySecondary School, Science, Secondary School, Science at Affiliated High School of Peking University
Github Skills (54)
python10
simulator10
machine-learning10
sac10
numpy10
dqn10
deep-learning10
gpu10
ddpg10
neural-network10
deep-reinforcement-learning10
actor10
actor-critic10
proximal-policy-optimization10
bullet9
Programming languages (5)
Github contributions (5)
RchalYang/pytorch_on_policy_agent
Aug 2018 - Oct 2018
Contributions:27 commits, 17 pushes, 5 branches in 2 months
RchalYang/RLPaperList
Feb 2020 - May 2021
Contributions:10 commits, 8 pushes, 1 branch in 1 year 2 months
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