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06/28/2023
Towards a Better Understanding of Learning with Multiagent Teams
While it has long been recognized that a team of individual learning age...
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05/15/2023
Deliberation and Voting in Approval-Based Multi-Winner Elections
Citizen-focused democratic processes where participants deliberate on al...
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03/13/2023
Revealed Multi-Objective Utility Aggregation in Human Driving
A central design problem in game theoretic analysis is the estimation of...
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02/01/2023
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
Multiagent reinforcement learning (MARL) has benefited significantly fro...
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09/22/2022
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments
The Game Theory Multi-Agent team at DeepMind studies several aspects...
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05/04/2022
Exploring the Benefits of Teams in Multiagent Learning
For problems requiring cooperation, many multiagent systems implement so...
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04/15/2022
The Importance of Credo in Multiagent Learning
We propose a model for multi-objective optimization, a credo, for agents...
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09/27/2021
A taxonomy of strategic human interactions in traffic conflicts
In order to enable autonomous vehicles (AV) to navigate busy traffic sit...
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09/20/2021
Generalized dynamic cognitive hierarchy models for strategic driving behavior
While there has been an increasing focus on the use of game theoretic mo...
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12/15/2020
Open Problems in Cooperative AI
Problems of cooperation–in which agents seek ways to jointly improve the...
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11/27/2020
Improving Welfare in One-sided Matching using Simple Threshold Queries
We study one-sided matching problems where n agents have preferences ove...
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07/30/2020
Algorithmic Stability in Fair Allocation of Indivisible Goods Among Two Agents
We propose a notion of algorithmic stability for scenarios where cardina...
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05/22/2019
Mechanism Design for Locating a Facility under Partial Information
We study the classic mechanism design problem of locating a public facil...
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04/24/2018
Robust and Approximately Stable Marriages under Partial Information
We study the stable marriage problem in the partial information setting ...
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03/01/2017
Investigating the Characteristics of One-Sided Matching Mechanisms Under Various Preferences and Risk Attitudes
One-sided matching mechanisms are fundamental for assigning a set of ind...
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03/04/2015
Random Serial Dictatorship versus Probabilistic Serial Rule: A Tale of Two Random Mechanisms
For assignment problems where agents, specifying ordinal preferences, ar...
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09/12/2013
Inducing Honest Reporting Without Observing Outcomes: An Application to the Peer-Review Process
When eliciting opinions from a group of experts, traditional devices use...
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08/22/2013
Matching Demand with Supply in the Smart Grid using Agent-Based Multiunit Auction
Recent work has suggested reducing electricity generation cost by cuttin...
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06/13/2012
Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium
We study a multiagent learning problem where agents can either learn via...
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10/05/1998