3 papers
cs.MA2025
Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication
Sydney Dolan, Siddharth Nayak, Jasmine Jerry Aloor +1
We consider the problem setting in which multiple autonomous agents must cooperatively navigate and perform tasks in an unknown, communication-constrained environment. Traditional…
cs.RO2025
LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
Siddharth Nayak, Adelmo Morrison Orozco, Marina Ten Have +10
The ability of Language Models (LMs) to understand natural language makes them a powerful tool for parsing human instructions into task plans for autonomous robots. Unlike traditio…
cs.MA2024
Cooperation and Fairness in Multi-Agent Reinforcement Learning
Jasmine Jerry Aloor, Siddharth Nayak, Sydney Dolan +1
Multi-agent systems are trained to maximize shared cost objectives, which typically reflect system-level efficiency. However, in the resource-constrained environments of mobility a…