Caroline Wang

20192020202120222023202411 29 44 75 89 34

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Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityVerified email at cs.duke.edu
Beau CokerPhD candidate in Biostatistics, Harvard UniversityVerified email at g.harvard.edu
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Bin HanPhD Student, Information Science, University of WashingtonVerified email at uw.edu
Patrick MacAlpineResearch Scientist, Sony AIVerified email at cs.utexas.edu
Bo LiuUniversity of Texas at AustinVerified email at cs.utexas.edu
Ishan DurugkarResearch Scientist, Sony AIVerified email at sony.com
Elad Liebmanstaff research scientist, SparkCognition & Assistant Prof. of Instruction, UT AustinVerified email at cs.utexas.edu
Xuesu XiaoAssistant Professor, George Mason UniversityVerified email at gmu.edu
Yuke ZhuAssistant Professor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Garrett WarnellResearch Scientist, Army Research LaboratoryVerified email at army.mil

Caroline Wang

Verified email at utexas.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The Age of Secrecy and Unfairness in Recidivism Prediction. Harvard Data Science Review, 2 (1) C Rudin, C Wang, B Coker	187*	2020
In pursuit of interpretable, fair and accurate machine learning for criminal recidivism prediction C Wang, B Han, B Patel, C Rudin Journal of Quantitative Criminology, 1-63, 2022	83	2022
Broader Issues Surrounding Model Transparency in Criminal Justice Risk Scoring C Rudin, C Wang, B Coker Harvard Data Science Review 2 (1), 2020	9	2020
UT Austin Villa: RoboCup 2021 3D simulation league competition champions P MacAlpine, B Liu, W Macke, C Wang, P Stone Robot World Cup, 314-326, 2021	4	2021
DM: Distributed Multi-Agent Reinforcement Learning for Distribution Matching C Wang, I Durugkar, E Liebman, P Stone arXiv preprint arXiv:2206.00233, 2022	2	2022
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning Z Wang, C Wang, X Xiao, Y Zhu, P Stone arXiv preprint arXiv:2401.12497, 2024	1	2024
N-Agent Ad Hoc Teamwork C Wang, A Rahman, I Durugkar, E Liebman, P Stone arXiv preprint arXiv:2404.10740, 2024		2024
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning C Wang, G Warnell, P Stone arXiv preprint arXiv:2210.14428, 2022		2022
UT Austin Villa 3D Simulation Soccer Team 2022 B Liu, W Macke, C Wang, P MacAlpine, P Stone
UT Austin Villa: An Open-source Gym Environment for Deep Reinforcement Learning on 3DSim B Liu, W Macke, C Wang, Y Zhu, P MacAlpine, P Stone

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