A hierarchical multi-agent allocation-action learning framework for multi-subtask games

X Li, Y Li, J Zhang, X Xu, D Liu - Complex & Intelligent Systems, 2024 - Springer
Great progress has been made in the domain of multi-agent reinforcement learning in recent
years. Most work concentrates on solving a single task by learning the cooperative …

Topology Aware Cluster Configuration for Minimizing Communication Delay in Edge Computing

K Rajashekar, S Paul, S Karmakar… - 2022 IEEE 42nd …, 2022 - ieeexplore.ieee.org
For real-time edge computing applications working under stringent deadlines,
communication delay between IoT devices and edge devices needs to be minimized. Since …

[PDF][PDF] Automating Tank Container Allocation In Transportation Networks: Exploring Heuristic and Deep Reinforcement Learning Approaches

LPM ter Heegde, WL van Jaarsveld - research.tue.nl
The objective of this research is to investigate the automation of the tank container allocation
process within a tank container operator's logistics framework. Factors such as stochastic …

MIP formulations for perishable fresh foods transportation

R Hao, H Ma - 2022 2nd International Conference on Business …, 2022 - books.google.com
This paper uses a mixed-integer programming model to solve the distribution problem of
perishable food shipments from factories to warehouse and then to destinations. This model …

Scheduling Multi-Skilled Tasks and Engineers: A Telecommunication Company's Problem

RTMS Ramos - 2021 - search.proquest.com
O corrente projeto contribui para o agendamento de tarefas e de engenheiros com múltiplas
qualificações. Este foi desenvolvido no âmbito de uma empresa de telecomunicações …