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Caroline Wang
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The Age of Secrecy and Unfairness in Recidivism Prediction. Harvard Data Science Review, 2 (1)
C Rudin, C Wang, B Coker
255*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
1252022
Broader Issues Surrounding Model Transparency in Criminal Justice Risk Scoring
C Rudin, C Wang, B Coker
Harvard Data Science Review 2 (1), 2020
102020
Building minimal and reusable causal state abstractions for reinforcement learning
Z Wang, C Wang, X Xiao, Y Zhu, P Stone
Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15778 …, 2024
82024
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
42021
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning
C Wang, G Warnell, P Stone
arXiv preprint arXiv:2210.14428, 2022
32022
N-Agent Ad Hoc Teamwork
C Wang, A Rahman, I Durugkar, E Liebman, P Stone
arXiv preprint arXiv:2404.10740, 2024
22024
DM: Distributed Multi-Agent Reinforcement Learning for Distribution Matching
C Wang, I Durugkar, E Liebman, P Stone
arXiv preprint arXiv:2206.00233, 2022
22022
UT Austin Villa 3D Simulation Soccer Team 2022
B Liu, W Macke, C Wang, P MacAlpine, P Stone
1
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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Artikelen 1–10