3 papers
cs.MA2025
Robust Multi-Agent Decision-Making in Finite-Population Games
Shinkyu Park, Lucas C. D. Bezerra
We study the robustness of an agent decision-making model in finite-population games, with a particular focus on the Kullback-Leibler Divergence Regularized Learning (KLD-RL) model…
cs.RO2025
Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation
Lucas C. D. Bezerra, AtaÃde M. G. dos Santos, Shinkyu Park
We propose a decentralized, learning-based framework for dynamic coalition formation in Multi-Robot Task Allocation (MRTA). Our approach extends MAPPO by integrating spatial action…
cs.RO2025
Opinion-Driven Decision-Making for Multi-Robot Navigation through Narrow Corridors
Norah K. Alghamdi, Shinkyu Park
We propose an opinion-driven navigation framework for multi-robot traversal through a narrow corridor. Our approach leverages a multi-agent decision-making model known as the Nonli…