Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
- In this paper, we propose a distributed approach for the least constraining slot allocation scheme in all-optical TDM networks (LC) that was introduced in a previous work. The dr...
The General Yard Allocation Problem (GYAP) is a resource allocation problem faced by the Port of Singapore Authority. Here, space allocation for cargo is minimized for all incoming...
Ping Chen, Zhaohui Fu, Andrew Lim, Brian Rodrigues
Cloud computing has emerged as a promising environment capable of providing flexibility, scalability, elasticity, failover mechanisms, high availability, and other important feat...
Abstract. In this paper, a radio resource sharing scheme for wireless cellular network is investigated to achieve efficiency and fairness among base stations. We propose a credit-t...