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Discover Ludwig"optimized reward" is correct and can be used in written English
It is often used to describe a reward or benefit that has been maximized or optimized in some way. Example: The company's new loyalty program offers optimized rewards for frequent customers, including exclusive discounts and personalized perks.
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There comes a point in most people's lives when the pile of undone financial tasks — the un-automated bills, the out-of-balance retirement accounts, the out-of-date budget, the under-optimized rewards programs — becomes large enough to provoke a sort of low-grade anxiety.
A linear, an observational and two optimized distributions of rewards are studied.
"The reward is optimized to get people to repeat actions until they unlock," Priebatsch adds.
This optimized model harvested substantially more reward than the monkeys.
Figure 8 Linear, observational and optimized distributions of citizen's rewards for different summarization levels.
However, the optimized model harvests 68.6% of the reward, substantially more (p < 0.0001, t 94306 = 10.99) than the monkeys.
In regard to this aspect of the model, there was no significant difference (p = 0.63, t 94306 = -0.48) in the reward gained by the optimized model (blue) and the monkey model (red).
Time savers incorporated into the latest mobile app include an optimized ink & toner finder, access to Staples Rewards, list building functionality and batch scanning.
The optimized model occupies a much more lucrative spot in this reward landscape, positioned at or near the maximum.
By working with regulators to identify and reward the types of investments that will create an optimized and integrated grid – while providing environmental and consumer benefits – utilities ensure they're getting the most out of grid modernization.
The rewards of a citizen i for different summarization levels can be derived from Equation (8). Figure 8 shows the linear and observational probability density functions, together with two optimized ones illustrated in Section 4.3 to make the distribution of rewards fairer.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com