Image de couverture de livre

Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zaman, Muhammad Aneeq uz, Koppel, Alec, Laurière, Mathieu, Başar, Tamer
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Computer Science and Game Theory Multiagent Systems
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective
par: Zaman, Muhammad Aneeq uz, et autres
Publié: (2024)

Policy Optimization finds Nash Equilibrium in Regularized General-Sum LQ Games
par: Zaman, Muhammad Aneeq uz, et autres
Publié: (2024)

Distributed Offloading in Multi-Access Edge Computing Systems: A Mean-Field Perspective
par: Aggarwal, Shubham, et autres
Publié: (2025)

Prosumers Participation in Markets: A Scalar-Parameterized Function Bidding Approach
par: Alawad, Abdullah, et autres
Publié: (2023)

Revisiting Game-Theoretic Control in Socio-Technical Networks: Emerging Design Frameworks and Contemporary Applications
par: Zhu, Quanyan, et autres
Publié: (2024)

Cooperation Breakdown in LLM Agents Under Communication Delays
par: Nishimoto, Keita, et autres
Publié: (2026)

Fully Decentralized Computation Offloading in Priority-Driven Edge Computing Systems
par: Aggarwal, Shubham, et autres
Publié: (2025)

Fully Decentralized Task Offloading in Multi-Access Edge Computing Systems
par: Aggarwal, Shubham, et autres
Publié: (2024)

Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning
par: Ren, Tianyu, et autres
Publié: (2024)

Synthesis of Reward Machines for Multi-Agent Equilibrium Design (Full Version)
par: Najib, Muhammad, et autres
Publié: (2024)

A Single Online Agent Can Efficiently Learn Mean Field Games
par: Zhang, Chenyu, et autres
Publié: (2024)

Cooperation and Control in Delegation Games
par: Sourbut, Oliver, et autres
Publié: (2024)

Aggregate Fictitious Play for Learning in Anonymous Polymatrix Games (Extended Version)
par: Kara, Semih, et autres
Publié: (2025)

Competition and Cooperation of LLM Agents in Games
par: Yao, Jiayi, et autres
Publié: (2026)

Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
par: Wu, Zida, et autres
Publié: (2024)

Emergent Cooperation under Uncertain Incentive Alignment
par: Orzan, Nicole, et autres
Publié: (2024)

Learning Mean Field Control on Sparse Graphs
par: Fabian, Christian, et autres
Publié: (2025)

Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL
par: Haupt, Andreas A., et autres
Publié: (2022)

Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
par: Benjamin, Patrick, et autres
Publié: (2024)

Bounded Rationality Equilibrium Learning in Mean Field Games
par: Eich, Yannick, et autres
Publié: (2024)

A Value Based Parallel Update MCTS Method for Multi-Agent Cooperative Decision Making of Connected and Automated Vehicles
par: Han, Ye, et autres
Publié: (2024)

On the Complexity of Learning to Cooperate with Populations of Socially Rational Agents
par: Loftin, Robert, et autres
Publié: (2024)

A Graph-Theoretical Perspective on Law Design for Multiagent Systems
par: Shi, Qi, et autres
Publié: (2025)

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning
par: Moslemi, Koorosh, et autres
Publié: (2025)

Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach
par: Fabian, Christian, et autres
Publié: (2024)

Online Competitive Information Gathering for Partially Observable Trajectory Games
par: Krusniak, Mel, et autres
Publié: (2025)

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

The Memory Curse: How Expanded Recall Erodes Cooperative Intent in LLM Agents
par: Liu, Jiayuan, et autres
Publié: (2026)

Scalable Mechanism Design for Multi-Agent Path Finding
par: Friedrich, Paul, et autres
Publié: (2024)

The Hive Mind is a Single Reinforcement Learning Agent
par: Soma, Karthik, et autres
Publié: (2024)

Hybrid Human-Agent Social Dilemmas in Energy Markets
par: Perera, Isuri, et autres
Publié: (2026)

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
par: Han, Songyang, et autres
Publié: (2022)

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

A Computable Game-Theoretic Framework for Multi-Agent Theory of Mind
par: Zhu, Fengming, et autres
Publié: (2025)

Decentralized Convergence to Equilibrium Prices in Trading Networks
par: Lock, Edwin, et autres
Publié: (2024)

Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing
par: Thakkar, Rishabh Saumil, et autres
Publié: (2022)

MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning
par: Felten, Florian, et autres
Publié: (2024)

Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
par: d'Eon, Greg, et autres
Publié: (2024)

Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning
par: Gemp, Ian, et autres
Publié: (2024)

HIVEX: A High-Impact Environment Suite for Multi-Agent Research (extended version)
par: Siedler, Philipp Dominic
Publié: (2025)