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05/22/2023
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare
The success of many healthcare programs depends on participants' adheren...
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05/23/2022
Privacy-preserving Data Filtering in Federated Learning Using Influence Approximation
Federated Learning by nature is susceptible to low-quality, corrupted, o...
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06/10/2021
Achieving Diverse Objectives with AI-driven Prices in Deep Reinforcement Learning Multi-agent Markets
We propose a practical approach to computing market prices and allocatio...
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05/09/2021
Improving Multi-agent Coordination by Learning to Estimate Contention
We present a multi-agent learning algorithm, ALMA-Learning, for efficien...
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02/03/2021
Improved Cooperation by Exploiting a Common Signal
Can artificial agents benefit from human conventions? Human societies ma...
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11/16/2020
Differential Privacy Meets Maximum-weight Matching
When it comes to large-scale multi-agent systems with a diverse set of a...
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12/17/2019
Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation
Ridesharing is a coordination problem in its core. Traditionally it has ...
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02/25/2019
Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior
We present a novel anytime heuristic (ALMA), inspired by the human princ...
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01/22/2018
Courtesy as a Means to Anti-coordinate
In this paper, we investigate the problem of anti-coordination under rat...
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01/22/2018