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 …
On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning
Constrained cooperative multi-agent reinforcement learning (MARL) is an emerging
learning framework that has been widely applied to manage multi-agent systems, and many …
learning framework that has been widely applied to manage multi-agent systems, and many …
[PDF][PDF] On the duality gap of constrained cooperative multi-agent reinforcement learning
ZY Chen, Y Zhou, H Huang - … of the 12th International Conference on …, 2024 - sci.utah.edu
Constrained cooperative multi-agent reinforcement learning (MARL) is an emerging
learning framework that has been widely applied to manage multi-agent systems, and many …
learning framework that has been widely applied to manage multi-agent systems, and many …
A Distributed Primal-Dual Method for Constrained Multi-agent Reinforcement Learning with General Parameterization
A Kahe, H Kebriaei - arxiv preprint arxiv:2410.15335, 2024 - arxiv.org
This paper proposes a novel distributed approach for solving a cooperative Constrained
Multi-agent Reinforcement Learning (CMARL) problem, where agents seek to minimize a …
Multi-agent Reinforcement Learning (CMARL) problem, where agents seek to minimize a …