Evaluating Agents using Social Choice Theory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lanctot, Marc, Larson, Kate, Bachrach, Yoram, Marris, Luke, Li, Zun, Bhoopchand, Avishkar, Anthony, Thomas, Tanner, Brian, Koop, Anna
Format:	Preprint
Published:	2023
Subjects:	Artificial Intelligence Computer Science and Game Theory Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
by: Li, Zun, et al.
Published: (2023)

Approximating the Core via Iterative Coalition Sampling
by: Gemp, Ian, et al.
Published: (2024)

Nash without Numbers: A Social Choice Approach to Mixed Equilibria in Context-Ordinal Games
by: Gemp, Ian, et al.
Published: (2026)

Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
by: Marris, Luke, et al.
Published: (2021)

Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms
by: Lanctot, Marc, et al.
Published: (2026)

Deviation Ratings: A General, Clone-Invariant Rating Method
by: Marris, Luke, et al.
Published: (2025)

Discovering Multiagent Learning Algorithms with Large Language Models
by: Li, Zun, et al.
Published: (2026)

Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
by: Gemp, Ian, et al.
Published: (2023)

Soft Condorcet Optimization for Ranking of General Agents
by: Lanctot, Marc, et al.
Published: (2024)

Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning
by: Gemp, Ian, et al.
Published: (2024)

A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning
by: Li, Zun, et al.
Published: (2024)

Procedural Fairness in Multi-Agent Bandits
by: Caiata, Joshua, et al.
Published: (2026)

Steering Language Models with Game-Theoretic Solvers
by: Gemp, Ian, et al.
Published: (2024)

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

Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization
by: D'Amico-Wong, Luca, et al.
Published: (2024)

Generalized dynamic cognitive hierarchy models for strategic driving behavior
by: Sarkar, Atrisha, et al.
Published: (2021)

Computational Social Choice: Parameterized Complexity and Challenges
by: Chen, Jiehua, et al.
Published: (2024)

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

From Necklaces to Coalitions: Fair and Self-Interested Distribution of Coalition Value Calculations
by: Payne, Terry R., et al.
Published: (2026)

Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
by: Thöni, Anna C. M., et al.
Published: (2025)

Investigating the Impact of Subgraph Social Structure Preference on the Strategic Behavior of Networked Mixed-Motive Learning Agents
by: Gao, Xinqi, et al.
Published: (2026)

Re-evaluating Open-ended Evaluation of Large Language Models
by: Liu, Siqi, et al.
Published: (2025)

An Algorithmic Theory of Simplicity in Mechanism Design
by: Ferraioli, Diodato, et al.
Published: (2024)

Neural Population Learning beyond Symmetric Zero-sum Games
by: Liu, Siqi, et al.
Published: (2024)

A Computable Game-Theoretic Framework for Multi-Agent Theory of Mind
by: Zhu, Fengming, et al.
Published: (2025)

Hybrid Human-Agent Social Dilemmas in Energy Markets
by: Perera, Isuri, et al.
Published: (2026)

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

A Generalised Theory of Proportionality in Collective Decision Making
by: Masařík, Tomáš, et al.
Published: (2023)

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

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

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

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)

Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
by: De La Fuente, Neil, et al.
Published: (2024)

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)

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

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

Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models
by: Hennes, Daniel, et al.
Published: (2026)

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