Caroline Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Function Approximators

Reinforcement Learning

Top Venues

Publications

Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone
N-Agent Ad Hoc Teamwork. CoRR (2024)
Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. AAAI (2024)
Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. CoRR (2024)
Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone
DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching. AAAI (2023)
Caroline Wang, Garrett Warnell, Peter Stone
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal-Conditioning. AAMAS (2023)
Caroline Wang, Garrett Warnell, Peter Stone
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning. CoRR (2022)
Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone
: Distributed Multi-Agent Reinforcement Learning for Distribution Matching. CoRR (2022)
Patrick MacAlpine, Bo Liu, William Macke, Caroline Wang, Peter Stone
UT Austin Villa: RoboCup 2021 3D Simulation League Competition Champions. RoboCup (2021)
Caroline Wang, Bin Han, Bhrij Patel, Feroze Mohideen, Cynthia Rudin
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction. CoRR (2020)
Cynthia Rudin, Caroline Wang, Beau Coker
The age of secrecy and unfairness in recidivism prediction. CoRR (2018)