Caroline Wang

According to our database, Caroline Wang authored at least 12 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Discovering Differences in Strategic Behavior Between Humans and LLMs.

Caroline Wang, Daniel Kasenberg, Kim Stachenfeld, Pablo Samuel Castro

CoRR, February, 2026

2025

Sequence Modeling for N-Agent Ad Hoc Teamwork.

Caroline Wang, Di Yang Shi, Elad Liebman, Ishan Durugkar, Arrasy Rahman, Peter Stone

CoRR, June, 2025

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork.

Caroline Wang, Arrasy Rahman, Jiaxun Cui, Yoonchang Sung, Peter Stone

CoRR, May, 2025

2024

N-agent Ad Hoc Teamwork.

Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

N-Agent Ad Hoc Teamwork.

Caroline Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning.

Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

D-Shape: Demonstration-Shaped Reinforcement Learning via Goal-Conditioning.

Caroline Wang, Garrett Warnell, Peter Stone

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching.

Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DM²: Distributed Multi-Agent Reinforcement Learning for Distribution Matching.

Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone

CoRR, 2022

2021

UT Austin Villa: RoboCup 2021 3D Simulation League Competition Champions.

Patrick MacAlpine, Bo Liu, William Macke, Caroline Wang, Peter Stone

Proceedings of the RoboCup 2021: Robot World Cup XXIV, 2021

2020

In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction.

Caroline Wang, Bin Han, Bhrij Patel, Feroze Mohideen, Cynthia Rudin

CoRR, 2020

2018

The age of secrecy and unfairness in recidivism prediction.

Cynthia Rudin, Caroline Wang, Beau Coker

CoRR, 2018