👋 Hi! I am Kaixin Wang (王开新), a senior researcher at Microsoft Research Asia, working on building AI agents.
Previously, I did my postdoc at Technion, fortunately advised by
Prof. Shie Mannor.
Even earlier, I spent my PhD time at the National University of Singapore and
undergraduate time at Nanjing University.
I am broadly interested in topics in (deep) RL,
such state representation, generalization and world models.
Feel free to reach out to me for a chat!
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CV
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Improving Token-Based World Models with Parallel Observation Prediction
Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor
ICML 2024
arXiv
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code
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Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel
Uri Gadot*, Kaixin Wang*, Navdeep Kumar, Kfir Y. Levy, Shie Mannor
ICML 2024
arXiv
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code
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Reachability-Aware Laplacian Representation in Reinforcement Learning
Kaixin Wang*, Kuangqi Zhou*, Jiashi Feng, Bryan Hooi, Xinchao Wang
ICML 2023
arXiv
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The Geometry of Robust Value Functions
Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng,
Shie Mannor
ICML 2022
arXiv
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presentation
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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
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presentation
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Academic Services
Volunteer
Reviewer
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AAAI:
2023
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ICLR:
2020~2021
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2022~2024
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ICML:
2020~2021
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,
2021~2024
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NeurIPS:
2020
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2021,2023~2024
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NeurIPS Datasets & Benchmarks:
2023~2024
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EWRL:
2023~2024
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Transactions on Machine Learning Research
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My Academic Toolbox
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🎨 Draw.io (now diagrams.net):
A very powerful yet easy-to-use tool for creating diagrams / plots.
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💿 PaperMemory:
A handy browser extension to store papers I read, and much more.
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📐 GeoGebra:
A nice tool for interactive visualization of 2D/3D geometry.
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∭ LaTeXiT:
A handy equation editor when I do need LaTex rather than MathJax (e.g., using
euscript font).
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📌 The views expressed are my own and do not necessarily reflect the views of my employer.
👏 This page is forked from here
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