Deep reinforcement learning based resource allocation for V2V communications

H Ye, GY Li, BHF Juang - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
… joint resource optimization problem in the virtualized vehicular networks. We exploit deep
reinforcement learning … ence levels, and the resource allocation and scheduling solution in this …

A reinforcement learning approach to dynamic resource allocation

D Vengerov - Engineering Applications of Artificial Intelligence, 2007 - Elsevier
… total future resource transfer cost. The key problem addressed in this paper is that of learning
U i ( s ) in the dynamic resource allocation setting. If project resource allocations are fixed, …

A hybrid reinforcement learning approach to autonomic resource allocation

G Tesauro, NK Jong, R Das… - 2006 IEEE International …, 2006 - ieeexplore.ieee.org
… hybrid learning method for resource valuation estimates, combining disparate strengths
of both reinforcement learning and model-based policies, within a dynamic server allocation

[PDF][PDF] Online resource allocation using decompositional reinforcement learning

G Tesauro - AAAI, 2005 - cdn.aaai.org
reinforcement learning (RL) techniques for the important problem of optimal online allocation
of resources… Data Center scenario for studying resource allocation, which generally follows …

Multi-agent reinforcement learning-based resource allocation for UAV networks

J Cui, Y Liu, A Nallanathan - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
… a learning agent and each resource allocation solution corresponds to an action taken by the
UAVs. Afterwards, we develop a multi-agent reinforcement learning (… using learning. More …

Applying reinforcement learning towards automating resource allocation and application scalability in the cloud

E Barrett, E Howley, J Duggan - Concurrency and computation …, 2013 - Wiley Online Library
reinforcement learning approaches to resource allocation and application support to
contextualise the contributions of this paper over previous automated control learning approaches. …

Smart resource allocation for mobile edge computing: A deep reinforcement learning approach

J Wang, L Zhao, J Liu, N Kato - IEEE Transactions on emerging …, 2019 - ieeexplore.ieee.org
… introduce the reinforcement learning method and several strategies adopted in our proposed
resource allocation algorithm DRLRA. Then, we present the classical Q-learning and the …

[PDF][PDF] Resource allocation in the grid using reinforcement learning

A Galstyan, K Czajkowski, K Lerman - Proceedings of the Third …, 2004 - researchgate.net
… decentralized algorithm for resource allocation in a simplified … reinforcement learning agents
that share common resources … to a particular resource and which serves as a reinforcement

Optimal resource allocation using reinforcement learning for IoT content-centric services

K Gai, M Qiu - Applied Soft Computing, 2018 - Elsevier
… for resource allocation in CPS, which was based on a design of the reinforcement learning
… service level, which enabled a dynamic resource allocation and avoided a fixed input task …

On the use of hybrid reinforcement learning for autonomic resource allocation

G Tesauro, NK Jong, R Das, MN Bennani - Cluster Computing, 2007 - Springer
… 342–343 (2005)) we showed the feasibility of using online RL to learn resource valuation
estimates (in lookup table form) which can be used to make high-quality server allocation