Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Ziyuan, Liu, Guanjun, Tang, Ying |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
by: Yang, Min, et al.
Published: (2023)
by: Yang, Min, et al.
Published: (2023)
SAJA: A State-Action Joint Attack Framework on Multi-Agent Deep Reinforcement Learning
by: Guo, Weiqi, et al.
Published: (2025)
by: Guo, Weiqi, et al.
Published: (2025)
PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning
by: Guo, Weiran, et al.
Published: (2025)
by: Guo, Weiran, et al.
Published: (2025)
Multi-Objective Reinforcement Learning for Large Language Model Optimization: Visionary Perspective
by: Kong, Lingxiao, et al.
Published: (2025)
by: Kong, Lingxiao, et al.
Published: (2025)
Robust and Efficient Communication in Multi-Agent Reinforcement Learning
by: Liu, Zejiao, et al.
Published: (2025)
by: Liu, Zejiao, et al.
Published: (2025)
Multi-Agent Reinforcement Learning for Energy Networks: Computational Challenges, Progress and Open Problems
by: Keren, Sarah, et al.
Published: (2024)
by: Keren, Sarah, et al.
Published: (2024)
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects
by: Ruan, Shulan, et al.
Published: (2025)
by: Ruan, Shulan, et al.
Published: (2025)
Whispers in the Noise: Surrogate-Guided Concept Awakening via a Multi-Agent Framework
by: Sun, Mengyu, et al.
Published: (2026)
by: Sun, Mengyu, et al.
Published: (2026)
The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
by: Li, Yurui, et al.
Published: (2025)
by: Li, Yurui, et al.
Published: (2025)
Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
by: Abadi, Alireza Saleh, et al.
Published: (2025)
by: Abadi, Alireza Saleh, et al.
Published: (2025)
Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems
by: Ma, Yue, et al.
Published: (2026)
by: Ma, Yue, et al.
Published: (2026)
Multi-Agent Collaborative Reward Design for Enhancing Reasoning in Reinforcement Learning
by: Yang, Pei, et al.
Published: (2025)
by: Yang, Pei, et al.
Published: (2025)
RUMAD: Reinforcement-Unifying Multi-Agent Debate
by: Wang, Chao, et al.
Published: (2026)
by: Wang, Chao, et al.
Published: (2026)
Can We Trust a Black-box LLM? LLM Untrustworthy Boundary Detection via Bias-Diffusion and Multi-Agent Reinforcement Learning
by: Zhou, Xiaotian, et al.
Published: (2026)
by: Zhou, Xiaotian, et al.
Published: (2026)
Communication Methods in Multi-Agent Reinforcement Learning
by: Wittner, Christoph
Published: (2026)
by: Wittner, Christoph
Published: (2026)
A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges
by: Xu, Xinrun, et al.
Published: (2024)
by: Xu, Xinrun, et al.
Published: (2024)
Concept Learning for Cooperative Multi-Agent Reinforcement Learning
by: Ge, Zhonghan, et al.
Published: (2025)
by: Ge, Zhonghan, et al.
Published: (2025)
PrismAgent: Illuminating Harm in Memes via a Zero-Shot Interpretable Multi-Agent Framework
by: Ding, Zihan, et al.
Published: (2026)
by: Ding, Zihan, et al.
Published: (2026)
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
by: Liu, Zeyang, et al.
Published: (2024)
by: Liu, Zeyang, et al.
Published: (2024)
On Centralized Critics in Multi-Agent Reinforcement Learning
by: Lyu, Xueguang, et al.
Published: (2024)
by: Lyu, Xueguang, et al.
Published: (2024)
AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework
by: Zhang, Hanchen, et al.
Published: (2025)
by: Zhang, Hanchen, et al.
Published: (2025)
LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning
by: Chen, Xudong, et al.
Published: (2026)
by: Chen, Xudong, et al.
Published: (2026)
LLM Collaboration With Multi-Agent Reinforcement Learning
by: Liu, Shuo, et al.
Published: (2025)
by: Liu, Shuo, et al.
Published: (2025)
Evolutionary Enhanced Multi-Agent Reinforcement Learning for Cooperative Air Combat
by: Li, Chengwei, et al.
Published: (2026)
by: Li, Chengwei, et al.
Published: (2026)
Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding
by: Zhou, Yuhang, et al.
Published: (2025)
by: Zhou, Yuhang, et al.
Published: (2025)
A Synthesis Method of Safe Rust Code Based on Pushdown Colored Petri Nets
by: Zhang, Kaiwen, et al.
Published: (2026)
by: Zhang, Kaiwen, et al.
Published: (2026)
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
by: Liu, Shunyu, et al.
Published: (2022)
by: Liu, Shunyu, et al.
Published: (2022)
Rollout Cards: A Reproducibility Standard for Agent Research
by: Masters, Charlie, et al.
Published: (2026)
by: Masters, Charlie, et al.
Published: (2026)
TGPO: Tree-Guided Preference Optimization for Robust Web Agent Reinforcement Learning
by: Chen, Ziyuan, et al.
Published: (2025)
by: Chen, Ziyuan, et al.
Published: (2025)
Adaptive Robust Estimator for Multi-Agent Reinforcement Learning
by: Li, Zhongyi, et al.
Published: (2026)
by: Li, Zhongyi, et al.
Published: (2026)
Explaining Decentralized Multi-Agent Reinforcement Learning Policies
by: Boggess, Kayla, et al.
Published: (2025)
by: Boggess, Kayla, et al.
Published: (2025)
On Stateful Value Factorization in Multi-Agent Reinforcement Learning
by: Marchesini, Enrico, et al.
Published: (2024)
by: Marchesini, Enrico, et al.
Published: (2024)
Coordination Graphs for Constrained Multi-Agent Reinforcement Learning
by: Amaya-Corredor, Santiago, et al.
Published: (2026)
by: Amaya-Corredor, Santiago, et al.
Published: (2026)
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)
by: Li, Simin, et al.
Published: (2025)
Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)
by: Hu, Tianyi, et al.
Published: (2025)
Multi-Scenario Combination Based on Multi-Agent Reinforcement Learning to Optimize the Advertising Recommendation System
by: Zhao, Yang, et al.
Published: (2024)
by: Zhao, Yang, et al.
Published: (2024)
LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation
by: Zhu, Guobin, et al.
Published: (2025)
by: Zhu, Guobin, et al.
Published: (2025)
Internet of Agents: Fundamentals, Applications, and Challenges
by: Wang, Yuntao, et al.
Published: (2025)
by: Wang, Yuntao, et al.
Published: (2025)
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
by: Li, Lei, et al.
Published: (2023)
by: Li, Lei, et al.
Published: (2023)
Similar Items
-
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
by: Yang, Min, et al.
Published: (2023) -
SAJA: A State-Action Joint Attack Framework on Multi-Agent Deep Reinforcement Learning
by: Guo, Weiqi, et al.
Published: (2025) -
PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning
by: Guo, Weiran, et al.
Published: (2025) -
Multi-Objective Reinforcement Learning for Large Language Model Optimization: Visionary Perspective
by: Kong, Lingxiao, et al.
Published: (2025) -
Robust and Efficient Communication in Multi-Agent Reinforcement Learning
by: Liu, Zejiao, et al.
Published: (2025)