In this paper, we propose a deep reinforcement learning (DRL)-based algorithm to generate policies of Baseband Function (BBF) placement and routing. order explore the performance proposed in practical systems, online scenario with completely random requests is used simulation considering C-RAN NG-RAN architectures. Besides, an Integer Linear Programming (ILP) model formulated optimal solution a...

Deep reinforcement learning (DRL) has numerous applications in the real world, thanks to its ability achieve high performance a range of environments with little manual oversight. Despite great advantages, DRL is susceptible adversarial attacks, which precludes use real-life critical systems and (e.g., smart grids, traffic controls, autonomous vehicles) unless vulnerabilities are addressed miti...

The increasing popularity of cruise tourism has led to the need for effective planning and management strategies enhance city tour experience passengers. This paper presents a deep reinforcement learning (DRL)-based planner specifically designed optimize tours By leveraging power DRL, proposed aims maximize number visited attractions while considering constraints such as time availability, attr...

In this work we focus on solving quadratically constrained pseudoboolean optimization problems with quadratic objective as mixed integer linear programs. The standard mixed integer linear formulation of such problems is strengthened using valid inequalities derived from solving Reformulation-Linearization relaxation called partial DRL* relaxation. The proposed PDRL* relaxation features block-de...

Diagnostic reference levels (DRLs) should be used by regional, national and local authorised bodies. The numerical values of DRLs are advisory, however, implementation of the DRL concept may be required by an authorised body. The concept of DRLs allows flexibility in their selection and implementation. The present ICRP advice does not specify quantities, numerical values or details of implement...

We report on an external-cavity diamond Raman laser (DRL) pumped with a Q-switched Nd:YAG and generating at 1st and 2nd Stokes (1240 nm and 1485 nm) with enhanced output energy. The slope efficiency of 54% and output energy as high as 1.2 mJ in single pulse at 1240 nm have been achieved with optimized cavity, while the pulse energy of 0.70 mJ was obtained in the eye-safe spectral region at 1485...

Table 1 was erroneously published twice, once as Table 1 and once as Table 2. All references to Table 2 refer to Table 1. The following information is missing from the Funding section: This research was supported by the National Science Foundation (NSF) (ITR 0325428, HCC 0834847, DRL 1235958, and Graduate Research Fellowship under Grant No. 1122374). Any opinions, findings, conclusions, or reco...