ℜobin Hood Reachability Bidding Games

Shaull Almagor, Guy Avni, Neta Dafni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Two-player graph games are a fundamental model for reasoning about the interaction of agents. These games are played between two players who move a token along a graph. In bidding games, the players have some monetary budget, and at each step they bid for the privilege of moving the token. Typically, the winner of the bid either pays the loser or the bank, or a combination thereof. We introduce Robin Hood bidding games, where at the beginning of every step the richer player pays the poorer a fixed fraction of the difference of their wealth. After the bid, the winner pays the loser. Intuitively, this captures the setting where a regulating entity prevents the accumulation of wealth to some degree. We show that the central property of bidding games, namely the existence of a threshold function, is retained in Robin Hood bidding games. We show that finding the threshold can be formulated as a Mixed-Integer Linear Program. Surprisingly, we show that the games are not always determined exactly at the threshold, unlike their standard counterpart.

Original languageEnglish
Title of host publicationProceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025
EditorsYevgeniy Vorobeychik, Sanmay Das, Ann Nowe
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages96-104
Number of pages9
ISBN (Electronic)9798400714269
StatePublished - 2025
Event24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025 - Detroit, United States
Duration: 19 May 202523 May 2025

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Conference

Conference24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025
Country/TerritoryUnited States
CityDetroit
Period19/05/2523/05/25

Bibliographical note

Publisher Copyright:
© 2025 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org).

Keywords

  • Bidding Games
  • Discounting
  • Reachability Games
  • Wealth Regulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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