most citedHierarchical Needs-driven Agent Learning Systems: From Deep Reinforcement Learning To Diverse Strategies

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.MAShow all

1 paper · 1 filter

cs.MA2023

A Hierarchical Game-Theoretic Decision-Making for Cooperative Multi-Agent Systems Under the Presence of Adversarial Agents

Qin Yang, Ramviyas Parasuraman

Underlying relationships among Multi-Agent Systems (MAS) in hazardous scenarios can be represented as Game-theoretic models. This paper proposes a new hierarchical network-based mo…