Haonan Yu


Google scholar / GitHub / Blog / LinkedIn

I am a Member of Technical Staff at Skild AI, working on post-training. I lead the machine learning component of the Nvidia GB300 busbar assembly project. Previously, my research focus was learning-based robotics and embodied AI at Horizon Robotics, Facebook AI Research, and Baidu Research.

My long-term career goal is to build a generalist robot with a wide range of skills to assist people with tedious daily tasks. By doing so, I aim to free up more time for humans to focus on creative pursuits—such as writing, drawing, and imagining—activities that truly define our humanity.


Education

Ph.D. of Electrical and Computer Engineering (ECE), Purdue University
Bachelor of Computer Science (CS), Peking University


Selected publications


Softwares

ALF - Agent Learning Framework (ALF) is a PyTorch reinforcement learning framework emphasizing on the flexibility and easiness of implementing complex algorithms involving many different components.
TAAC - Temporally abstract actor-critic algorithm for efficient continuous control.
XWorld - A simulator package for RL research with language task support.
FLARE - A reinforcement learning framework for training embodied agents with PyTorch.


Hobbies

I like playing video games, especially ARPG. So far my favorite games are souls-like, by FromSoftware.