:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Yaowenqi, Meng, Bingxu, Pan, Rui, Liu, Yuxing, Huang, Jerry, You, Jiaxuan, Zhang, Tong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Multiagent Systems
Online Access:	https://arxiv.org/abs/2507.08870
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation
by: Jiang, Wenzhao, et al.
Published: (2026)

Principled Learning-to-Communicate with Quasi-Classical Information Structures
by: Liu, Xiangyu, 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)

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

Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning
by: Yang, Shan, et al.
Published: (2026)

Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning
by: Liu, Lin, et al.
Published: (2024)

Scalable Offline Reinforcement Learning for Mean Field Games
by: Brunnbauer, Axel, et al.
Published: (2024)

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
by: Liu, Zichuan, et al.
Published: (2022)

Classification with a Network of Partially Informative Agents: Enabling Wise Crowds from Individually Myopic Classifiers
by: Yao, Tong, et al.
Published: (2024)

OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models
by: Li, Shiyuan, et al.
Published: (2026)

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

Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD update
by: Hairi, Fnu, et al.
Published: (2024)

Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling under Data Governance
by: Qin, Zhaoming, et al.
Published: (2021)

An Empirical Study on Google Research Football Multi-agent Scenarios
by: Song, Yan, et al.
Published: (2023)

CoCoL: A Communication Efficient Decentralized Collaborative Method for Multi-Robot Systems
by: Huang, Jiaxi, et al.
Published: (2025)

Open Ad Hoc Teamwork with Cooperative Game Theory
by: Wang, Jianhong, et al.
Published: (2024)

Dive into the Agent Matrix: A Realistic Evaluation of Self-Replication Risk in LLM Agents
by: Zhang, Boxuan, et al.
Published: (2025)

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

The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization
by: Tang, Luoxi, et al.
Published: (2026)

TacticGen: Grounding Adaptable and Scalable Generation of Football Tactics
by: Xu, Sheng, et al.
Published: (2026)

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization
by: Ho, Brandon, et al.
Published: (2025)

Language-Guided Tuning: Enhancing Numeric Optimization with Textual Feedback
by: Lu, Yuxing, et al.
Published: (2025)

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

Optimal and Scalable MAPF via Multi-Marginal Optimal Transport and Schrödinger Bridges
by: Khan, Usman A., et al.
Published: (2026)

TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination
by: Xie, Yi, et al.
Published: (2026)

Scalable spectral representations for multi-agent reinforcement learning in network MDPs
by: Ren, Zhaolin, et al.
Published: (2024)

Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
by: Zhang, Zhiyao, et al.
Published: (2025)

Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration
by: Baghi, Amir, et al.
Published: (2025)

OPTIMA: Optimized Policy for Intelligent Multi-Agent Systems Enables Coordination-Aware Autonomous Vehicles
by: Du, Rui, et al.
Published: (2024)

SocialDriveGen: Generating Diverse Traffic Scenarios with Controllable Social Interactions
by: Tian, Jiaguo, et al.
Published: (2025)

MasRouter: Learning to Route LLMs for Multi-Agent Systems
by: Yue, Yanwei, et al.
Published: (2025)

AbideGym: Turning Static RL Worlds into Adaptive Challenges
by: Aryan, Abi, et al.
Published: (2025)

A Learning Framework For Cooperative Collision Avoidance of UAV Swarms Leveraging Domain Knowledge
by: Huang, Shuangyao, et al.
Published: (2025)

Physics-Informed Neural Controlled Differential Equations for Scalable Long Horizon Multi-Agent Motion Forecasting
by: Sural, Shounak, et al.
Published: (2025)

Heterogeneous Multi-agent Collaboration in UAV-assisted Mobile Crowdsensing Networks
by: Deng, Xianyang, et al.
Published: (2025)

Fully Independent Communication in Multi-Agent Reinforcement Learning
by: Pina, Rafael, et al.
Published: (2024)

Peer-to-Peer Energy Trading of Solar and Energy Storage: A Networked Multiagent Reinforcement Learning Approach
by: Feng, Chen, et al.
Published: (2024)

Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation
by: Xiong, Guojun, et al.
Published: (2025)

T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration
by: Sun, Chuxiong, et al.
Published: (2024)

Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement Learning
by: Liu, Songyang, et al.
Published: (2025)