Hierarchical auto-organizing system for open-ended multi-agent navigation
Towards Fault Tolerance in Multi-Agent Reinforcement Learning
Y Shi, H Pei, L Feng, Y Zhang, D Yao - arxiv preprint arxiv:2412.00534, 2024 - arxiv.org
Agent faults pose a significant threat to the performance of multi-agent reinforcement
learning (MARL) algorithms, introducing two key challenges. First, agents often struggle to …
learning (MARL) algorithms, introducing two key challenges. First, agents often struggle to …
The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
Y Li, Y Chen, L Zhang, S Li, G Pan - arxiv preprint arxiv:2502.00345, 2025 - arxiv.org
The significant role of division of labor (DOL) in promoting cooperation is widely recognized
in real-world applications. Many cooperative multi-agent reinforcement learning (MARL) …
in real-world applications. Many cooperative multi-agent reinforcement learning (MARL) …
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
In multi-agent reinforcement learning (MARL), parameter sharing is commonly employed to
enhance sample efficiency. However, the popular approach of full parameter sharing often …
enhance sample efficiency. However, the popular approach of full parameter sharing often …
基于多智能体**化学**的博弈综述
**艺春， 刘泽娇， 洪艺天， 王继超， 王健瑞， **毅， 唐漾 - 自动化学报, 2024 - aas.net.cn
多智能体**化学**作为博弈论, 控制论和多智能体学**的交叉研究领域, 是多智能体系统研究中
的前沿方向, 赋予了智能体在动态多维的复杂环境中通过交互和决策完成多样化任务的能力 …
的前沿方向, 赋予了智能体在动态多维的复杂环境中通过交互和决策完成多样化任务的能力 …
多智能体**化学**控制与决策研究综述
罗彪， 胡天萌， 周育豪， 黄廷文， 阳春华， 桂卫华 - 自动化学报, 2024 - aas.net.cn
**化学**作为一类重要的人工智能方法, 广泛应用于解决复杂的控制与决策问题,
其在众多领域的应用已展示出巨大潜力. **年来, **化学**从单智能体决策逐渐扩展到多智能体 …
其在众多领域的应用已展示出巨大潜力. **年来, **化学**从单智能体决策逐渐扩展到多智能体 …