Wang Kaixin

I am a postdoctoral researcher in Prof. Shie Mannor's group at Technion. Previously, I finished my PhD study in Institute of Data Science at National University of Singapore, fortunately supervised by Prof. Bryan Hooi, Dr. Jiashi Feng and Prof. Xinchao Wang. Even earlier, I spent my undergraduate years at Nanjing University.

I am broadly interested in topics in (deep) reinforcement learning, such as state/action representation, exploration and generalization. I particularly enjoy doing research that answers an interesting question or resolves an open issue. Feel free to contact me for discussion or collaboration!

 /  CV  /   / 

• AAAI: 2023 ()
• ICLR: 2020 () , 2021 () , 2022 () , 2023 ()
• ICML: 2020 () , 2021 ( ) , 2022 ()
• NeurIPS: 2020 () , 2021 ()
• IEEE Transactions on Pattern Analysis and Machine Intelligence ()
• Transactions on Machine Learning Research ()
• IEEE Transactions on Image Processing ()
• IEEE Transactions on Multimedia ()
• Machine Vision and Applications ()

• MineRL competition 2019 submission
• RL generalization papers: A list of papers regarding generalization in (deep) reinforcement learning.
• Blog: update infrequently
• Interesting RL papers: a collection of RL papers that study interesting questions

• 🎨 Draw.io (now diagrams.net): A very powerful yet easy-to-use tool for creating diagrams / plots.
• 💿 PaperMemory: A handy browser extension to store papers I read, and much more.
• 📐 GeoGebra: A nice tool for interactive visualization of 2D/3D geometry.
• ∭ LaTeXiT: A handy equation editor when I do need LaTex rather than MathJax (e.g., using euscript font).