Multi-agent reinforcement learning based resource management in MEC-and UAV-assisted vehicular networks
In this paper, we investigate multi-dimensional resource management for unmanned aerial
vehicles (UAVs) assisted vehicular networks. To efficiently provide on-demand resource …
vehicles (UAVs) assisted vehicular networks. To efficiently provide on-demand resource …
Interterminal truck routing optimization using deep reinforcement learning
The continued growth of the volume of global containerized transport necessitates that most
of the major ports in the world improve port productivity by investing in more interconnected …
of the major ports in the world improve port productivity by investing in more interconnected …
An IP core mapping algorithm based on neural networks
Q Chen, W Huang, Y Zhang… - IEEE Transactions on Very …, 2020 - ieeexplore.ieee.org
The IP core mapping optimization problem is an NP-hard problem in network-on-chip
design. Because of the computational complexity of an IP core mapping, the MPNN-Ptr …
design. Because of the computational complexity of an IP core mapping, the MPNN-Ptr …
Deep reinforcement learning for solving AGVs routing problem
C Lu, J Long, Z Xing, W Wu, Y Gu, J Luo… - … and Evaluation of …, 2020 - Springer
The routing of automated guided vehicles (AGVs) is playing an increasingly important role in
modern logistics. AGVs routing problem is a complex combinatorial optimization problem. It …
modern logistics. AGVs routing problem is a complex combinatorial optimization problem. It …