Investigating the Impact of Subgraph Social Structure Preference on the Strategic Behavior of Networked Mixed-Motive Learning Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Xinqi, Ventresca, Mario
Format:	Preprint
Published:	2026
Subjects:	Multiagent Systems Computer Science and Game Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Will Systems of LLM Agents Cooperate: An Investigation into a Social Dilemma
by: Willis, Richard, et al.
Published: (2025)

Strategic Interactions in Multi-Level Stackelberg Games with Non-Follower Agents and Heterogeneous Leaders
by: Aminikalibar, Niloofar, et al.
Published: (2026)

Preference-Based Multi-Agent Reinforcement Learning: Data Coverage and Algorithmic Techniques
by: Zhang, Natalia, et al.
Published: (2024)

Strategic Cost Selection in Participatory Budgeting
by: Faliszewski, Piotr, et al.
Published: (2024)

Strategic Voting in the Context of Stable-Matching of Teams
by: Schmerler, Leora, et al.
Published: (2022)

Learning Fair Cooperation in Mixed-Motive Games with Indirect Reciprocity
by: Smit, Martin, et al.
Published: (2024)

Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
by: Gonzales, Jake, et al.
Published: (2026)

Strategic Vote Timing in Online Elections With Public Tallies
by: Yaish, Aviv, et al.
Published: (2024)

Nash Q-Network for Multi-Agent Cybersecurity Simulation
by: Xie, Qintong, et al.
Published: (2025)

The Surprising Effectiveness of SP Voting with Partial Preferences
by: Hosseini, Hadi, et al.
Published: (2024)

Understanding Strategic Platform Entry and Seller Exploration: A Stackelberg Model
by: Seo, Garrett, et al.
Published: (2026)

Parameterized Complexity of Hedonic Games with Enemy-Oriented Preferences
by: Durand, Martin, et al.
Published: (2025)

The Illusion of Rationality: Tacit Bias and Strategic Dominance in Frontier LLM Negotiation Games
by: Ríos, Manuel S., et al.
Published: (2025)

Preference-CFR$\:$ Beyond Nash Equilibrium for Better Game Strategies
by: Ju, Qi, et al.
Published: (2024)

Factorised Active Inference for Strategic Multi-Agent Interactions
by: Ruiz-Serra, Jaime, et al.
Published: (2024)

Characterizing Lane-Changing Behavior in Mixed Traffic
by: Chung, Sungyong, et al.
Published: (2025)

$α$-Rank-Collections: Analyzing Expected Strategic Behavior with Uncertain Utilities
by: Pieroth, Fabian R., et al.
Published: (2022)

Strategic Negotiations in Endogenous Network Formation
by: Jalan, Akhil, et al.
Published: (2024)

Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation
by: Lee, Dong Ho, et al.
Published: (2026)

You Can't Always Get What You Want: Games of Ordered Preference
by: Lee, Dong Ho, et al.
Published: (2024)

Strategic Delay and Coordination Efficiency in Global Games
by: Park, Shinkyu, et al.
Published: (2026)

Urban Emergency Rescue Based on Multi-Agent Collaborative Learning: Coordination Between Fire Engines and Traffic Lights
by: Chen, Weichao, et al.
Published: (2025)

Learning in Strategic Queuing Systems with Small Buffers
by: Abel, Ariana, et al.
Published: (2025)

No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
by: Zhang, Mengxiao, et al.
Published: (2024)

Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners
by: Zhu, Fengming, et al.
Published: (2025)

Noncooperative Human-AI Agent Dynamics
by: Waldner, Dylan, et al.
Published: (2026)

Leadership Inference for Multi-Agent Interactions
by: Khan, Hamzah, et al.
Published: (2023)

What Do Agents Think One Another Want? Level-2 Inverse Games for Inferring Agents' Estimates of Others' Objectives
by: Khan, Hamzah I., et al.
Published: (2025)

Socially efficient mechanism on the minimum budget
by: Kinoshita, Hirota, et al.
Published: (2024)

Efficient Investment in Multi-Agent Models of Public Transportation
by: Bullinger, Martin, et al.
Published: (2026)

(Almost Full) EFX for Three (and More) Types of Agents
by: Ghosal, Pratik, et al.
Published: (2023)

Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners
by: Doshi, Drashthi, et al.
Published: (2025)

Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach
by: Li, Jichen, et al.
Published: (2025)

TinyMA-IEI-PPO: Exploration Incentive-Driven Multi-Agent DRL with Self-Adaptive Pruning for Vehicular Embodied AI Agent Twins Migration
by: Zeng, Zhuoqi, et al.
Published: (2025)

Game-Theoretic Lens on LLM-based Multi-Agent Systems
by: Hao, Jianing, et al.
Published: (2026)

Game-Theoretic Understandings of Multi-Agent Systems with Multiple Objectives
by: Wang, Yue
Published: (2025)

Evolution of Lane-Changing Behavior in Mixed Traffic: A Quantum Game Theory Approach
by: Chung, Sungyong, et al.
Published: (2026)

The (Computational) Social Choice Take on Indivisible Participatory Budgeting
by: Rey, Simon, et al.
Published: (2023)

Quantifying the Self-Interest Level of Markov Social Dilemmas
by: Willis, Richard, et al.
Published: (2025)

On Incentivizing Social Information Sharing Through Routing Games
by: Li, Songhua, et al.
Published: (2023)