Results 101 to 110 of about 6,813,126 (333)

An autoscalable approach to optimize energy consumption using smart meters data in serverless computing

Science and Technology for Energy Transition
Serverless computing has evolved as a prominent paradigm within cloud computing, providing on-demand resource provisioning and capabilities crucial to Science and Technology for Energy Transition (STET) applications.
Kaur Jasmine, Chana Inderveer, Bala Anju
doaj   +1 more source

Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading [PDF]

, 2023
Shuying Gan, Marie Siew, Chao Xu, Tony Q. S. Quek   +3 more
openalex   +1 more source

Logistic Q-Learning

, 2020
ISSN:2640 ...
Bas-Serrano, Joan, Curi, Sebastian, Krause, Andreas, Neu, Gergely   +3 more
openaire   +3 more sources

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Improved Dynamic Q-Learning Algorithm to Solve the Lot-Streaming Flowshop Scheduling Problem with Equal-Size Sublots

Complex System Modeling and Simulation
The lot-streaming flowshop scheduling problem with equal-size sublots (ELFSP) is a significant extension of the classic flowshop scheduling problem, focusing on optimize makespan.
Ping Wang, Renato De Leone, Hongyan Sang
doaj   +1 more source

Q-Drug: a Framework to bring Drug Design into Quantum Space using Deep Learning [PDF]

, 2023
Zhaoping Xiong, Xiaopeng Cui, Xinyuan Lin, Feixiao Ren, Bowen Liu, Yunting Li, Man‐Hong Yung, Nan Qiao   +7 more
openalex   +1 more source

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

Advanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source

Scheduling Bi-Objective Lot-Streaming Hybrid Flow Shops with Consistent Sublots via an Enhanced Artificial Bee Colony Algorithm

Complex System Modeling and Simulation
This work addresses bi-objective hybrid flow shop scheduling problems considering consistent sublots (Bi-HFSP_CS). The objectives are to minimize the makespan and total energy consumption.
Benxue Lu, Kaizhou Gao, Peiyong Duan, Adam Slowik   +3 more
doaj   +1 more source

Speedy Q-learning

, 2011
We introduce a new convergent variant of Q-learning, called speedy Q-learning, to address the problem of slow convergence in the standard form of the Q-learning algorithm. We prove a PAC bound on the performance of SQL, which shows that for an MDP with n state-action pairs and the discount factor γ only T = O(log(n)/(ε^2 (1 - γ)^4)) steps are required ...
Azar, Mohammad Gheshlaghi, Munos, Rémi, Ghavamzadeh, Mohammad, Kappen, Hilbert   +3 more
openaire   +2 more sources

Q-learning with Nearest Neighbors

, 2018
We consider model-free reinforcement learning for infinite-horizon discounted Markov Decision Processes (MDPs) with a continuous state space and unknown transition kernel, when only a single sample path under an arbitrary policy of the system is ...
Shah, Devavrat, Xie, Qiaomin
core