Image de couverture de livre

Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hennes, Daniel, Li, Zun, Schultz, John, Lanctot, Marc
Format:	Preprint
Publié:	2026
Sujets:	Computer Science and Game Theory Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Discovering Multiagent Learning Algorithms with Large Language Models
par: Li, Zun, et autres
Publié: (2026)

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
par: Li, Zun, et autres
Publié: (2023)

Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles
par: Lian, Jiesong, et autres
Publié: (2024)

Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms
par: Lanctot, Marc, et autres
Publié: (2026)

Policy Space Response Oracles: A Survey
par: Bighashdel, Ariyan, et autres
Publié: (2024)

Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
par: Marris, Luke, et autres
Publié: (2021)

Evaluating Agents using Social Choice Theory
par: Lanctot, Marc, et autres
Publié: (2023)

Simulation-Free PSRO: Removing Game Simulation from Policy Space Response Oracles
par: Liu, Yingzhuo, et autres
Publié: (2025)

NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning
par: Kalanther, Addison, et autres
Publié: (2026)

Playing Large Games with Oracles and AI Debate
par: Chen, Xinyi, et autres
Publié: (2023)

Policy-Conditioned Policies for Multi-Agent Task Solving
par: Lin, Yue, et autres
Publié: (2025)

On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models
par: Goel, Naman
Publié: (2023)

Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Models
par: Liu, Jiayuan, et autres
Publié: (2026)

Steering Language Models with Game-Theoretic Solvers
par: Gemp, Ian, et autres
Publié: (2024)

An Interpretable Automated Mechanism Design Framework with Large Language Models
par: Liu, Jiayuan, et autres
Publié: (2025)

Puzzle it Out: Local-to-Global World Model for Offline Multi-Agent Reinforcement Learning
par: Li, Sijia, et autres
Publié: (2026)

SpinGPT: A Large-Language-Model Approach to Playing Poker Correctly
par: Maugin, Narada, et autres
Publié: (2025)

A New Lower Bound for the Random Offerer Mechanism in Bilateral Trade using AI-Guided Evolutionary Search
par: Cai, Yang, et autres
Publié: (2026)

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers
par: Sun, Haoran, et autres
Publié: (2025)

Cooperative Game-Theoretic Credit Assignment for Multi-Agent Policy Gradients via the Core
par: Ji, Mengda, et autres
Publié: (2025)

Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation
par: Shapira, Eilam, et autres
Publié: (2023)

From External to Swap Regret 2.0: An Efficient Reduction and Oblivious Adversary for Large Action Spaces
par: Dagan, Yuval, et autres
Publié: (2023)

Re-evaluating Open-ended Evaluation of Large Language Models
par: Liu, Siqi, et autres
Publié: (2025)

Policy Aggregation
par: Alamdari, Parand A., et autres
Publié: (2024)

Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning
par: Kapoor, Aditya, et autres
Publié: (2024)

Spot Check Equivalence: an Interpretable Metric for Information Elicitation Mechanisms
par: Xu, Shengwei, et autres
Publié: (2024)

Conflux-PSRO: Effectively Leveraging Collective Advantages in Policy Space Response Oracles
par: Huang, Yucong, et autres
Publié: (2024)

Bi-Level Policy Optimization with Nyström Hypergradients
par: Prakash, Arjun, et autres
Publié: (2025)

Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL
par: Huang, Jiawei, et autres
Publié: (2024)

Autoformalization of Game Descriptions using Large Language Models
par: Mensfelt, Agnieszka, et autres
Publié: (2024)

Incentivizing Truthful Language Models via Peer Elicitation Games
par: Chen, Baiting, et autres
Publié: (2025)

ElicitationGPT: Text Elicitation Mechanisms via Language Models
par: Wu, Yifan, et autres
Publié: (2024)

On the Fundamental Impossibility of Hallucination Control in Large Language Models
par: Karpowicz, Michał P.
Publié: (2025)

LLMs as Strategic Agents: Beliefs, Best Response Behavior, and Emergent Heuristics
par: de Fortuny, Enric Junque, et autres
Publié: (2025)

On Corrigibility and Alignment in Multi Agent Games
par: Dable-Heath, Edmund, et autres
Publié: (2025)

Generalized Principal-Agent Problem with a Learning Agent
par: Lin, Tao, et autres
Publié: (2024)

Evaluating LLM Agent Collusion in Double Auctions
par: Agrawal, Kushal, et autres
Publié: (2025)

Learning in Games with Progressive Hiding
par: Heymann, Benjamin, et autres
Publié: (2024)

Procedural Fairness in Multi-Agent Bandits
par: Caiata, Joshua, et autres
Publié: (2026)

Strategic Bidding in 6G Spectrum Auctions with Large Language Models
par: Lotfi, Ismail, et autres
Publié: (2026)