The Distributed Constraint Optimization Problem (DCOP) is a fundamental formalism for multi-agent cooperation. A dedicated framework called Resource Constrained DCOP (RCDCOP) has ...
Toshihiro Matsui, Marius Silaghi, Katsutoshi Hiray...
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
Molecular Dynamics applications enhance our understanding of biological phenomena through bio-molecular simulations. Large-scale parallelization of MD simulations is challenging b...
This paper introduces a multi-robot cooperation approach to solve the pursuit evasion problem for mobile robots that have omnidirectional vision sensors in unknown environments. T...