Cover Image

Focusing Influence Mechanism for Multi-Agent Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Park, Yisak, Lee, Sunwoo, Han, Seungyul
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
by: Bae, Sangjun, et al.
Published: (2026)

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2026)

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2025)

Shaping Zero-Shot Coordination via State Blocking
by: Kang, Mingu, et al.
Published: (2026)

FoX: Formation-aware exploration in multi-agent reinforcement learning
by: Jo, Yonghyeon, et al.
Published: (2023)

Trajectory-Class-Aware Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2025)

Multi-Agent Craftax: Benchmarking Open-Ended Multi-Agent Reinforcement Learning at the Hyperscale
by: Omari, Bassel Al, et al.
Published: (2025)

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

Generalized Intention Modeling in Multi-Agent Reinforcement Learning
by: Odrowaz-Sypniewski, Mateusz, et al.
Published: (2026)

An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning
by: Amato, Christopher
Published: (2024)

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

Interactive Distillation for Cooperative Multi-Agent Reinforcement Learning
by: Cho, Minwoo, et al.
Published: (2026)

MAGIC: Multi-Step Advantage-Gated Causal Influence for Multi-agent Reinforcement Learning
by: Yu, Haohan, et al.
Published: (2026)

Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
by: Bui, The Viet, et al.
Published: (2025)

Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning
by: Gardiner, John, et al.
Published: (2026)

Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2025)

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

CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
by: Gupta, Nikunj, et al.
Published: (2023)

Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning
by: Büchi, Hannes, et al.
Published: (2026)

Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems
by: Holder, Joshua, et al.
Published: (2024)

Hierarchical Lead Critic based Multi-Agent Reinforcement Learning
by: Eckel, David, et al.
Published: (2026)

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

A Survey of Multi-Agent Deep Reinforcement Learning with Communication
by: Zhu, Changxi, et al.
Published: (2022)

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

Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2024)

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics
by: Hazra, Somnath, et al.
Published: (2025)

Optimistic ε-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning
by: Zhang, Ruoning, et al.
Published: (2025)

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

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning
by: Deihim, Azad, et al.
Published: (2025)

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

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
by: Schäfer, Lukas, et al.
Published: (2023)

Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2024)

Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm
by: Kim, Hyeonjun, et al.
Published: (2025)

Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings
by: Wang, Zhizun, et al.
Published: (2026)

Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization
by: Kim, Seongmin, et al.
Published: (2026)

Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping
by: Krishnan, Srivatsan, et al.
Published: (2025)

Spatiotemporal Attention-Augmented Inverse Reinforcement Learning for Multi-Agent Task Allocation
by: Yin, Huilin, et al.
Published: (2025)

Constrained Black-Box Attacks Against Cooperative Multi-Agent Reinforcement Learning
by: Andam, Amine, et al.
Published: (2025)

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

MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits
by: Zhang, Yuhang, et al.
Published: (2023)