Cover Image

Scalable Offline Reinforcement Learning for Mean Field Games

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Brunnbauer, Axel, Lemmel, Julian, Babaiee, Zahra, Neubauer, Sophie, Grosu, Radu
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
by: Brunnbauer, Axel, et al.
Published: (2024)

Real-Time Recurrent Reinforcement Learning
by: Lemmel, Julian, et al.
Published: (2023)

Online Fine-Tuning of Carbon Emission Predictions using Real-Time Recurrent Learning for State Space Models
by: Lemmel, Julian, et al.
Published: (2025)

Efficient and Scalable Deep Reinforcement Learning for Mean Field Control Games
by: Peng, Nianli, et al.
Published: (2024)

TubeDAgger: Reducing the Number of Expert Interventions with Stochastic Reach-Tubes
by: Lemmel, Julian, et al.
Published: (2025)

Analysis of Multiscale Reinforcement Q-Learning Algorithms for Mean Field Control Games
by: Angiuli, Andrea, et al.
Published: (2024)

Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
by: Wu, Zida, et al.
Published: (2025)

Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
by: Mondal, Washim Uddin, et al.
Published: (2022)

Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
by: Eldeeb, Eslam, et al.
Published: (2024)

Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
by: Woo, Jiin, et al.
Published: (2024)

MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment
by: Wang, Ziyan, et al.
Published: (2023)

Offline Multi-agent Reinforcement Learning via Sequential Score Decomposition
by: Qiao, Dan, et al.
Published: (2025)

An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management
by: Eldeeb, Eslam, et al.
Published: (2025)

Major-Minor Mean Field Multi-Agent Reinforcement Learning
by: Cui, Kai, et al.
Published: (2023)

Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
by: Magnino, Lorenzo, et al.
Published: (2025)

Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
by: Wu, Zida, et al.
Published: (2024)

Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning
by: Li, Tao, et al.
Published: (2023)

ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
by: Bui, The Viet, et al.
Published: (2024)

Mean-Field Bayesian Optimisation
by: Steinberg, Petar, et al.
Published: (2025)

Offline and Distributional Reinforcement Learning for Radio Resource Management
by: Eldeeb, Eslam, et al.
Published: (2024)

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2024)

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2023)

O-MAPL: Offline Multi-agent Preference Learning
by: Bui, The Viet, et al.
Published: (2025)

Offline and Distributional Reinforcement Learning for Wireless Communications
by: Eldeeb, Eslam, et al.
Published: (2025)

Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM
by: Lassen, Oskar Bohn, et al.
Published: (2025)

Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games
by: Magnino, Lorenzo, et al.
Published: (2026)

LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning
by: Duan, Tianyang, et al.
Published: (2025)

Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games
by: Wu, Zixuan, et al.
Published: (2024)

OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
by: Bokade, Rohit, et al.
Published: (2024)

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
by: Barde, Paul, et al.
Published: (2023)

Bounded Rationality Equilibrium Learning in Mean Field Games
by: Eich, Yannick, et al.
Published: (2024)

Transformer-Based Scalable Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions
by: Sinha, Vidur, et al.
Published: (2025)

Scalable Neural Incentive Design with Parameterized Mean-Field Approximation
by: Corecco, Nathan, et al.
Published: (2025)

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
by: Xu, Zelai, et al.
Published: (2023)

Networked Communication for Decentralised Agents in Mean-Field Games
by: Benjamin, Patrick, et al.
Published: (2023)

Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
by: Benjamin, Patrick, et al.
Published: (2024)

Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
by: Li, Xinran, et al.
Published: (2025)

Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
by: Cui, Kai, et al.
Published: (2023)

Learning Partial Action Replacement in Offline MARL
by: Jin, Yue, et al.
Published: (2026)

Learning to Control Unknown Strongly Monotone Games
by: Chandak, Siddharth, et al.
Published: (2024)