… Inspired by the victory of AlphaGo, this article proposes a machine learning framework for
resource allocation and discusses how to apply supervised learning to extract the similarities …

… learning, and then investigate how to apply machine learning to learn the dynamics of high
… machine learning for data-driven decision making and wireless resource management …

… , how to reasonably allocate network resources and computing resources in a … intelligent
resource allocation model “DRL + FL”. Based on this model, an intelligent resource allocation …

… With the aid of the DDPG algorithm, radio resource management for MD-IMA can be …
model-based approaches. Furthermore, the effectiveness of our proposed deep learning framework …

… To derive the allocation of cluster head to the model owner, … competitive model owners, we
adopt a deep learning based … a joint resource allocation and incentive design framework for …

… approach to improve the learning efficiency and convergence … learning framework of MERAC
for the intelligent resource … of our presented intelligent resource allocation based on the …

… resource allocation model based on an intelligent multi-agent system and reinforcement
learning … It combines the multi-agent characteristics and the Q-learning process to improve the …

… In this section, we present the reinforcement learning within the MDP framework and then
discuss the optimal solutions. In this paper, the asynchronous advantage actor–critic (A3C) …

… resource allocator. In this research , a self adaptive resource allocation frame work based
on machine learning … the problem of multi-dimensional cloud resource. This novel self-adaptive …

… in resource allocation problems; Therefore, in this paper, resource allocation approaches
based on deep learning … allocation to achieve a better resource allocation model in the cloud …