Haonan Yu

Research Engineer
Facebook AI Research
Google Scholar / GitHub @yu239

I am a research engineer at FAIR. My general interests are language grounding in vision and control, reinforcement learning, and artificial general intelligence. I received my PhD degree from Purdue University in 2016, where my thesis topic was learning to ground language in videos.

Prior to joining FB, I spent two wonderful years at Baidu Research Sunnyvale as a research scientist.


Publications


Softwares

XWorld - A C++/Python simulator package for reinforcement learning research.
FLARE - A PyTorch reinforcement learning framework for embodied agents


Slides

proximal policy optimization (PPO) - Slides for the RL reading group @SVAIL (07/31/2018).
language grounding by deep reinforcement learning - Slides for the talk @GoogleResearch (07/20/2018).
n-step bootstrapping - Slides for the RL reading group @SVAIL (05/10/2018).