Scholar
Shengyi Huang
Google Scholar ID: kl9YcpEAAAAJ
Allen Institute for Artificial Intelligence
Citations & Impact
Citations
3,778
H-index
18
i10-index
21
Publications
20
Co-authors
0
Publications
Resume
Research Experience
- Works as a Machine Learning Engineer at Hugging Face.
- Uses Deep Reinforcement Learning to train bots to play games autonomously.
- Recent work focuses on scaling Reinforcement Learning to Real-time Strategy (RTS) games.
- Developed CleanRL, a library to train agents for various games.
- Created Gym-MicroRTS, a simulated game environment to experiment with RL algorithms.
- Contributed to StreetTraffic, a server package to collect traffic data and plan optimal travel time.
- Trained StarCraft II agents to learn mineral collection.
Education
- Ph.D. in Computer Science from Drexel University, under the supervision of Santiago Ontañón, specializing in Reinforcement Learning.
Background
- Machine Learning Engineer with a focus on Reinforcement Learning. Enjoys conducting research and performing cool experiments.
Miscellany
- Personal interests include training bots to play volleyball through self-play and safely landing a shuttle on the lunar surface.