Publications

DM$^2$: Distributed multi-agent reinforcement learning via distribution matching

Published in Preprint, 2022

DM$^2$ allows a team of agents to perform cooperative tasks by independently imitating corresponding experts agents from a team of experts.

Recommended citation: Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone (2022). "DM$^2$: Distributed multi-agent reinforcement learning via distribution matching" arXiv preprint.

In pursuit of interpretable, fair and accurate machine learning for criminal recidivism prediction

Published in Journal of Quantitative Criminology, 2022

Designing interpretable machine learning models to predict criminal recidivism.

Recommended citation: Caroline Wang, Bin Han , Bhrij Patel, Feroze Mohideen, Cynthia Rudin (2022). "In pursuit of interpretable, fair and accurate machine learning for criminal recidivism prediction." Journal of Quantitative Criminology. https://link.springer.com/article/10.1007/s10940-022-09545-w

Published in , 1900