Wang Kaixin

I am a 4th year PhD student in National University of Singapore, supported by Institute of Data Science, and fortunately supervised by Dr. Jiashi Feng, Prof. Bryan Hooi and Prof. Xinchao Wang. I also work closely with Prof. Shie Mannor.

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  /   / 

profile photo
/ Research Works
The Geometry of Robust Value Functions
Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
ICML, 2022
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
Kaixin Wang*, Kuangqi Zhou*, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng
ICML, 2021
arXiv  /  code (coming soon)  /  presentation
Improving Generalization in Reinforcement Learning with Mixture Regularization
Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng
NeurIPS, 2020
arXiv  /  code  /  site  /  presentation


MineRL competition 2019

Academic Services
    Volunteer Reviewer Top reviewer
  • 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 ()
My Academic Toolbox
  • 🎨 (now 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).

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