Abstract: In this paper, a greedy initialization-based genetic algorithm is proposed for unit-norm tight frame sampling design in spherical near-field measurements. Since the optimization criterion ...
Abstract: Energy conservation and carbon reduction are essential for achieving carbon peaking and neutrality, as well as advancing the green transformation of the economy and society. This research ...
evaluate --robust --obs-bitflip-p ... tests the agent under simulated radiation effects. Adding --decision-log out/decision_log.json produces a structured log of each step, including manager strategy ...
Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...
The RL-FRB/US framework combines the Federal Reserve Board's macroeconomic model (FRB/US) with reinforcement learning techniques to optimize economic policy decisions. This integration, detailed in ...
Before diving into the details, let’s look at a high-level overview outlining vocabulary terms we’ll see come up and contrasting different methods. It would also be useful to revisit this section ...
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