Sentence examples for maximal reward from inspiring English sources

This avoids the need to have a mule nearby to drive away in a stolen car, and criminals love asymmetric campaigns: minimal effort, maximal reward.

The average size of sub-maximal rewards was half the maximal reward size for both animals.

Reward size increased more quickly for Fle than Ica as a function of consecutive correct responses, but for both animals we categorized the trials into two conditions: maximal reward size ('large') and sub-maximal reward size ('small'small

For both animals, we categorized trials into two conditions: maximal (large) reward size and sub-maximal (small) reward size, where for both animals the average size of the two sub-maximal reward sizes was half that of the maximal reward size.

Trials with this additional disparity – disparity that had to be discounted for maximal reward – were clearly signalled by a change in colour of the cylinder stimulus from black to white.

Therefore, as Pc decreases for example, due to the increased difficulty of the task the maximal reward rate is obtained through faster responding, allowing for more responses, and therefore more correct responses per unit time.

Further, we found a significant three-way interaction between anhedonia, probability and reward magnitude, such that anhedonia was the strongest predictor of hard-task choices for trials with maximal uncertainty (i.e. 50% probability) and maximum reward magnitude (hard task values >$3.50).

This is so because the price sweeps were carried out at pulse frequencies that produced near-maximal reward intensities, as indicated by the near-vertical orientation of the contour lines at their intersection with the trajectory of the price sweeps in Figures 8,10.

Based on those premises, the authors propose coloring algorithms with an objective of maximal cumulative reward, maximal minimal reward, and maximal proportional fairness.

Therefore, the matching strategy coincides with the maximizing strategy, which indeed earns the globally maximal average reward (red triangle) unless the choice behavior is trapped by a local stationary point.

In order to justify the effectiveness of our scheme, we compare ours with the ORS scheme, which has the knowledge of who is the optimal relay that has the maximal PU reward among the M candidate relays.