In short, everyone must embrace the mindset of becoming a learning athlete. While there's a lot of focus on entry-level jobs, most jobs will feel the impact of AI—everyone from administrative ...

Abstract: In this paper, we introduce a predictive Q-learning deflection routing (PQDR) algorithm for buffer-less networks. Q-learning, one of the reinforcement learning (RL) algorithms, has been ...

Google’s search algorithms evolve constantly, and staying ahead of these updates is key to maintaining and improving your website’s rankings. Whether it’s changes to core web vitals ...

Thus, routing protocols should explicitly consider network changes into the algorithm design. In order to support ... This work proposes a Q-Learning based Adaptive Routing model (QLAR), developed via ...

This aligns with the results found in the paper. The results on the right show the performance of DDQN and algorithm Stochastic NNs for Hierarchical Reinforcement Learning (SNN-HRL) from Florensa et ...

The paper takes the reader through the four phases of the reflection design and its findings, enabling them to envision using Q in higher teacher education for pre-service teachers’ (self-)reflection, ...

This Python-based simulation platform can realistically model various components of the UAV network, including the network layer, MAC layer and physical layer, as well as the UAV mobility model, ...