1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2026
GAMMS: Graph based Adversarial Multiagent Modeling Simulator
Rohan Patil, Jai Malegaonkar, Xiao Jiang +3
As intelligent systems and multi-agent coordination become increasingly central to real-world applications, there is a growing need for simulation tools that are both scalable and…
cs.MA2022★ 1 cited
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space
Yining Chen, Ke Wang, Guanghua Song +1
In most existing studies on large-scale multi-agent coordination, the control methods aim to learn discrete policies for agents with finite choices. They rarely consider selecting…