DRLDepartment of Regulation and Licensing(real estate) DRLDr Reddy's Laboratories(Pharmaceutical Company; Hyderabad, India) DRLDomestic Relations Law(state of New York) DRLDose Reference Level(medical imaging) DRLDefence Research Laboratory(India) ...
Our laboratory is fully licensed by the state of California Department of Health services and Health Care Financing Administration through the Clinical Laboratory Improvement (CLIA) program. We appreciate the relationship we enjoy through the medical community and currently provide excellence through quality...
The experimental results reveal that PGA-DRL outperforms state-of-the-art baselines, such as BPR, NeuMF, and SimGCL, achieving improvements in NDCG@10 and Recall@10. Our core contributions lie in bridging graph-based learning with reinforcement learning through a novel, efficient, and scalable ...
In this paper, we propose EdgeTuner, an online approach that effectively uses a DRL agent to select scheduler configurations for edge-cloud jobs. To overcome the expensive training overhead, we develop a cluster simulator to emulate the volatile and complex state space of edge-cloud jobs (e.g...
This repository is the official release of DRL Platform of CGI Lab (https://cgi.lab.nycu.edu.tw/), Department of Computer Science, National Yang Ming Chiao Tung University. We implement some of popular deep reinforcement learning algorithm on some simulator or environemnts, especially, in video...
Jonathan Farrar
End-to-end latency on the control plane is measured based on fields such as processing latency, propagation latency, and synchronization latency, taking into account the state of the controller [46,47]. In general, the controller processing latency is measured based on the modeling of the contro...
env.pyis the script setting the environment parameters. Here you can modify, for example, the position of the probes, reward function used, etc. make_mesh.pyallows you to remake the mesh if the geometry changed, and to re-compute a base state. ...
performance of QECO. Simulation results reveal that compared to the state-of-the-art existing works, QECO increases the number of completed tasks by up to 14.4%, while simultaneously reducing task delay and energy consumption by 9.2% and 6.3%, respectively. Together, these improvements result ...
(please see Supplementary Fig.11for a working model). BS-DRL1 is likely essential for the recruitment and retention of HMGB1 containing proteins complex on the chromatin. It is possible that the coordinated dysregulation of BS-DRL1 and HMGB1 interactions would produce a state of severe genomic ...