Published in RL Safety Workshop @Reinforcement Learning Conference (RLC) 2024, 2024
Learning to predict long-term fairness of actions for multi-agent resource allocation with resource constraints.
Published in International Conference on Automated Planning and Scheduling (ICAPS), 2023
Improving the fairness of ridesharing systems by using a simple, incentive-based approach to improve worse-off groups over time.
Published in International Conference on Automated Planning and Scheduling (ICAPS), 2022
This paper presents a visualization framework, VizXP, that allows users to explore the explanations generated by the MRP algorithm.
Published in Journal of Artificial Intelligence Research (JAIR), 2022
This paper presents a logic-based explanation generation framework for classical and hybrid planning problems.
Published in International Conference on Automated Planning and Scheduling (ICAPS), 2021
An interactive visualization system that let users compare different ridesharing-matching algorithms on the basis of different fairness criteria.