:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Zheng, Liu, Yuang, Ding, Yangkai
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.12943
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs
by: Zhao, Yujie, et al.
Published: (2025)

Heterogeneous Agent Collaborative Reinforcement Learning
by: Zhang, Zhixia, et al.
Published: (2026)

Residual Hyperbolic Graph Convolution Networks
by: Xue, Yangkai, et al.
Published: (2024)

Multi-Path Collaborative Reasoning via Reinforcement Learning
by: Lv, Jindi, et al.
Published: (2025)

FlexCausal: Flexible Causal Disentanglement via Structural Flow Priors and Manifold-Aware Interventions
by: Jin, Yutao, et al.
Published: (2026)

PiFlow: Principle-Aware Scientific Discovery with Multi-Agent Collaboration
by: Pu, Yingming, et al.
Published: (2025)

Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement Learning
by: Pang, Teng, et al.
Published: (2026)

Double Distillation Network for Multi-Agent Reinforcement Learning
by: Zhou, Yang, et al.
Published: (2025)

Multi-Agent Deep Reinforcement Learning for Collaborative UAV Relay Networks under Jamming Atatcks
by: Nguyen, Thai Duong, et al.
Published: (2025)

Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
by: Cai, Yuang, et al.
Published: (2024)

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization
by: Huang, Xiaohan, et al.
Published: (2025)

Fairness Auditing with Multi-Agent Collaboration
by: de Vos, Martijn, et al.
Published: (2024)

A Theory of Multi-Agent Generative Flow Networks
by: Brunswic, Leo Maxime, et al.
Published: (2025)

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence
by: Li, Simin, et al.
Published: (2023)

AoI-Aware Task Offloading and Transmission Optimization for Industrial IoT Networks: A Branching Deep Reinforcement Learning Approach
by: Chen, Yuang, et al.
Published: (2025)

Safe Multi-Agent Deep Reinforcement Learning for Privacy-Aware Edge-Device Collaborative DNN Inference
by: Wang, Hong, et al.
Published: (2026)

Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
by: Zheng, Zhi, et al.
Published: (2024)

SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization
by: Mudvari, Akrit, et al.
Published: (2024)

Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
by: Li, Simin, et al.
Published: (2023)

Energy-Aware Multi-Agent Reinforcement Learning for Collaborative Execution in Mission-Oriented Drone Networks
by: Li, Ying, et al.
Published: (2024)

Collaborating in Multi-Armed Bandits with Strategic Agents
by: Barnea, Idan, et al.
Published: (2026)

Traceable Latent Variable Discovery Based on Multi-Agent Collaboration
by: Du, Huaming, et al.
Published: (2026)

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
by: Liu, Zongkai, et al.
Published: (2024)

Iterative Refinement of Flow Policies in Probability Space for Online Reinforcement Learning
by: Sun, Mingyang, et al.
Published: (2025)

MAGIC-MASK: Multi-Agent Guided Inter-Agent Collaboration with Mask-Based Explainability for Reinforcement Learning
by: Maliha, Maisha, et al.
Published: (2025)

Caracal: Causal Architecture via Spectral Mixing
by: Gan, Bingzheng, et al.
Published: (2026)

Beyond the All-in-One Agent: Benchmarking Role-Specialized Multi-Agent Collaboration in Enterprise Workflows
by: Yu, Tao, et al.
Published: (2026)

A Tensor Network Implementation of Multi Agent Reinforcement Learning
by: Howard, Sunny
Published: (2024)

Statistical QoS Provision in Business-Centric Networks
by: Wu, Chang, et al.
Published: (2024)

Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
by: Guo, Xudong, et al.
Published: (2024)

Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning
by: Galliera, Raffaele, et al.
Published: (2023)

Latent Collaboration in Multi-Agent Systems
by: Zou, Jiaru, et al.
Published: (2025)

Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
by: Hsu, Hao-Lun, et al.
Published: (2024)

Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines
by: Zheng, Xuejing, et al.
Published: (2024)

FlowCritic: Bridging Value Estimation with Flow Matching in Reinforcement Learning
by: Zhong, Shan, et al.
Published: (2025)

From Solo to Symphony: Orchestrating Multi-Agent Collaboration with Single-Agent Demos
by: Wang, Xun, et al.
Published: (2025)

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
by: Liu, Sizhe, et al.
Published: (2024)

Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
by: Grötschla, Florian, et al.
Published: (2025)

Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2025)