Abstract: This article investigates an innovative data-driven approach to detect replay attacks in cyber-physical systems (CPSs). The core innovation lies in the pioneering application of a Q-learning ...
Generation Q,' discusses joining the HBO Max phenomenon: "We're still making the show, so I need to keep my head in the game.
AI researcher Anmol Aggarwal explains how fairness-aware pricing algorithms can reduce hidden bias without major revenue loss ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...
This important study uses reinforcement learning to study how turbulent odor stimuli should be processed to yield successful navigation. The authors find that there is an optimal memory length over ...
Abstract: This paper studies a deep reinforcement learning technique for distributed resource allocation among cognitive radios operating under an underlay dynamic spectrum access paradigm which does ...
Reinforcement learning (RL) trains agents to make sequential decisions by maximizing cumulative rewards. It has diverse applications, including robotics, gaming, and automation, where agents interact ...
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