mlsanityData to 7 Oct 2026

Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice

arXiv 2102.05008 ↗First posted 9 Feb 2021cs.MA cs.AI cs.GTcited by 9

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Abstract (arXiv)

Multi-agent influence diagrams (MAIDs) are a popular form of graphical model that, for certain classes of games, have been shown to offer key complexity and explainability advantages over traditional extensive form game (EFG) representations. In this paper, we extend previous work on MAIDs by introducing the concept of a MAID subgame, as well as subgame perfect and trembling hand perfect equilibrium refinements. We then prove several equivalence results between MAIDs and EFGs. Finally, we describe an open source implementation for reasoning about MAIDs and computing their equilibria.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 5 of its 28 references that are in the map. First posted on arXiv 9 Feb 2021.

Builds on

5 of 28 references.

References · 5

  1. 2019Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspectivecited by 107
  2. 2021Agent Incentives: A Causal Perspectivecited by 51
  3. 2019Modeling AGI Safety Frameworks with Causal Influence Diagramscited by 8
  4. 2020AGI Agent Safety by Iteratively Improving the Utility Functioncited by 8
  5. 2014Networks of Influence Diagrams: A Formalism for Representing Agents' Beliefs and Decision-Making Processescited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 0; 2025: 1; 2026: 3.

9 papers.