Mingxuan Li

20212022202320247 4 3 2

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Jingyuan WangBeihang UniversityVerified email at buaa.edu.cn
Xin LinBeihang UniversityVerified email at buaa.edu.cn
Junjie WuCenter for High Pressure Science & Technology Advanced ResearchVerified email at hpstar.ac.cn
Michael LittmanBrown UniversityVerified email at brown.edu
Yiheng XieBrown UniversityVerified email at brown.edu
Shangqun YuUniversity of Massachusetts AmherstVerified email at umass.edu
Elias BareinboimColumbia UniversityVerified email at columbia.edu
Junzhe ZhangColumbia UniversityVerified email at cs.columbia.edu
Ruochen ZhangBrown UniversityVerified email at brown.edu

Mingxuan Li

Verified email at cs.columbia.edu - Homepage


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Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense J Wang, Y Wu, M Li, X Lin, J Wu, C Li Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	14	2020
Learning Generalizable Behavior via Visual Rewrite Rules Y Xie, M Li, S Yu, M Littman arXiv preprint arXiv:2112.05218, 2021	1	2021
Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract) M Li, ML Littman Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15827 …, 2021	1*	2021
Causally Aligned Curriculum Learning M Li, J Zhang, E Bareinboim The Twelfth International Conference on Learning Representations (ICLR 2024), 2023		2023
Are L2 adversarial examples intrinsically different? M Li, J Wang, Y Wu arXiv preprint arXiv:2002.12527, 2020		2020
Replication of “When to Trust Your Model: Model-Based Policy Optimization” X Jiang, Q Chen, S Han, M Li, J Dong, R Zhang

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