3 papers
cs.MA2024
Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024
Reza Azadeh
Multi-Agent Reinforcement Learning (MARL) approaches have emerged as popular solutions to address the general challenges of cooperation in multi-agent environments, where the succe…
cs.RO2024
Relational Q-Functionals: Multi-Agent Learning to Recover from Unforeseen Robot Malfunctions in Continuous Action Domains
Yasin Findik, Paul Robinette, Kshitij Jerath +1
Cooperative multi-agent learning methods are essential in developing effective cooperation strategies in multi-agent domains. In robotics, these methods extend beyond multi-robot s…
cs.RO2024
Investigating the Generalizability of Assistive Robots Models over Various Tasks
Hamid Osooli, Christopher Coco, Johnathan Spanos +2
In the domain of assistive robotics, the significance of effective modeling is well acknowledged. Prior research has primarily focused on enhancing model accuracy or involved the c…