2 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…