Lantao Yu
PhD Candidate
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolLantao Yu is a PhD candidate in Computer Science at Stanford University with nine years of professional experience, based in Palo Alto. His work blends deep academic research with practical software engineering, informed by his long-term immersion in Stanford's CS community. While primarily focused on advanced topics in computer science, he maintains an active public profile (lantaoyu.com) and contributes to the broader research and developer ecosystem through GitHub. Colleagues describe him as someone who bridges rigorous theory and implementable systems, often uncovering elegant solutions to complex problems. Notably, his trajectory suggests a readiness to translate cutting-edge research into real-world tools and collaborations.
9 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at 美国斯坦福大学
Github Skills (26)
imitation-learning10
multi-agent-reinforcement-learning10
chainer10
mahjong10
multi-agent10
game-ai10
reinforcement-learning10
multi-objective-optimization10
gradient10
operations-research10
semi-supervised-learning10
generative10
markov-decision-processes10
agent10
adversarial-learning10
Programming languages (2)
Github contributions (5)
LantaoYu/SeqGAN
Sep 2016 - Apr 2018
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Contributions:39 commits, 5 PRs, 38 pushes in 1 year 7 months
pytorchpolicysequenceadversarial-learningdeep-learning
ermongroup/MetaIRL
Oct 2019 - Jun 2020
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
Contributions:3 commits, 1 PR, 5 pushes in 8 months
reinforcement-learningmetadeep-reinforcement-learninginverse-reinforcement-learningprobabilistic
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