Abstract: Communication networks are difficult to model and predict because they have become very sophisticated and dynamic. We develop a reinforcement learning routing algorithm (RLRouting) to solve ...

Abhik Biswas is the Co-Founder and CTO at Prakat Solutions Inc, writes to bridge scientific insights with practical engineering. Nature is not merely a source of inspiration for designers and ...

The United States is producing nurse practitioner graduates faster than the clinical training infrastructure can absorb them. NP programs have seen enrollment climb for three consecutive years, yet ...

Abstract: Segment routing (SR) is a novel source routing paradigm that enables network programmability. However, existing research rarely considers multicriteria optimization problems in SR networks.

SYSTEMS APPROACH Last year a couple of people forwarded to me the same article on a new method of finding shortest paths in networks. Dijkstra is a legend in computer science and his algorithm, which ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Tor has announced improved encryption and security for the circuit traffic by replacing the old tor1 relay encryption algorithm with a new design called Counter Galois Onion (CGO). One reason behind ...

Researchers from EPFL, AMD, and the University of Novi Sad have uncovered a long-standing inefficiency in the algorithm that programs millions of reconfigurable chips used worldwide, a discovery that ...

These include such learning paradigms as Q-Learning and the Deep Q-Networks setups. Reinforcement Learning paradigms essentially aim at teaching robots to undertake certain actions that will be used ...

Contained in this repository is the code used for simulating data transmissions through satellite constellations and evaluating the latency results through post-processing of the data generated in the ...

Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...