We develop a communication-efficient solution to resource allocation problems for a population of agents coupled through multiple indivisible shared resources.
This paper considers the problem of controlling a popu- lation of agents coupled through multiple indivisible shared resources in a federated multi-agent system ...
We develop a communication-efficient solution to resource allocation problems for a population of agents coupled through multiple indivisible shared resources ...
Jun 16, 2022 · We develop several solutions to solve such problems for multiple divisible and multiple indivisible resources wherein no inter-agent communication is required.
We develop a communication-efficient solution to resource allocation problems for a population of agents coupled through multiple indivisible shared resources ...
Featured Publications · Communication-Efficient Allocation of Multiple Indivisible Resources in a Federated Multi-Agent System · Near-optimal Differentially ...
2023. Communication-efficient Allocation of Multiple Indivisible Resources in a Federated Multi-Agent System. SE Alam, D Shukla. 62nd IEEE Conference on ...
Communication-efficient Allocation of Multiple Indivisible Resources in a Federated Multi-Agent System. SE Alam, D Shukla. 62nd IEEE Conference on Decision ...
A distributed algorithm to solve such distributed multi-resource allocation problems with no direct inter-agent communication is proposed by extending a ...
This paper proposes FedQMIX, a node selection algorithm based on multi-agent reinforcement learning(MARL), to address these challenges.