Jiayi Weng 翁家翌

trinkle23897 [at] gmail [dot] com

I am a research engineer at OpenAI. Previously, I received my bachelor's degree from Tsinghua University and my master's degree from Carnegie Mellon University. I was a research engineer at Sea AI Lab in Singapore, advised by Min Lin from May, 2021 to September, 2021. I spent a wonderful time at TSAIL, working with Professor Hang Su and Jun Zhu in the field of Reinforcement Learning from March, 2018 to June, 2020.

My interest lies in constructing and optimizing machine learning and reinforcement learning systems. Open-source projects are my favorite. I created a Reinforcement Learning platform Tianshou and got over . I also create a highly parallalized RL environment executor that has the state-of-the-art throughput EnvPool and got over . My Github has more than . I always aim to use what I have learned to gain more influence and benefit others.

CV  /  GitHub  /  Google Scholar  /  LinkedIn  /  Ins  /  Zhihu

For the summer of 2021, I was a full-time research engineer at Sea AI Lab in Singapore, where I worked with Min Lin and Professor Shuicheng Yan. We created a ultrafast RL vectorized environment EnvPool that can train Atari Pong and Mujoco Ant in 5 mins on a laptop, and has released in GitHub.

For the summer of 2019, I was a visiting student researcher at the Montreal Institute for Learning Algorithms (MILA), where I worked with Min Lin and Professor Yoshua Bengio on the Consciousness Prior based on Transformer architecture. [Photo]

Prior to that, I worked on the reinforcement learning algorithm based on the VizDoom platform with Professor Hang Su and Jun Zhu in TSAIL. We proposed an environment-aware hierarchical reinforcement learning architecture and achieved first place in VizDoom AI Competition 2018 Single Player Track(1). I am also the main contributor of Tianshou, an elegant, flexible, and superfast PyTorch deep Reinforcement Learning library.

I'm also engaged (but an amateur) in Photography [1] [2] / Computer Graphics / Web Security.

, Credits