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Past-Discounting is Key for Learning Markovian Fairness with Long Horizons
Ashwin Kumar, William Yeoh
Fairness is an important consideration for dynamic resource allocation in multi-agent systems. Many existing methods treat fairness as a one-shot problem without considering tempor…
Dialectical Reconciliation via Structured Argumentative Dialogues
Stylianos Loukas Vasileiou, Ashwin Kumar, William Yeoh +2
We present a novel framework designed to extend model reconciliation approaches, commonly used in human-aware planning, for enhanced human-AI interaction. By adopting a structured…
Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems
Ashwin Kumar, Yevgeniy Vorobeychik, William Yeoh
State-of-the-art order dispatching algorithms for ridesharing batch passenger requests and allocate them to a fleet of vehicles in a centralized manner, optimizing over the estimat…