Sentence examples for reward computation from inspiring English sources

Because our framework integrates an RL module with the HR reward computation, the drive reduction-induced reward of primary reinforcers can be readily transferred through the learning process to secondary reinforcers that predict them (i.e., Pavlovian conditioning) as well as to behavioral policies that lead to them (i.e., instrumental conditioning).

Once the new generation is settled by the GA process, reward computations and CPTs updates for the parameters sets associated with new solution creation ((r_mathrm{offspring})) and to population governance ((r_mathrm{population})) are carried out in the third phase of BNGA.

The influence of damage-stochastic-process hypotheses on future rewards computation is evaluated.

This measure considers the importance of similar sources in a cluster alongside sources with the news report "contribution" [138] or measure of distinctive relevance of sources in the reward value computation.

These results are highly consistent with animal electrophysiology and provide direct evidence that human SN and VTA heterogeneously handle important reward-harvesting computations.

Several previous RL-based models have also tried to incorporate the internal state into the computation of reward by proposing that reward increases as a linear function of deprivation level.

The derivation of macro action (s) and the computation of reward(s) associated with these actions are unique to this work in producing a reduced clustered space in the news reports modelling application.

The basic tools that are used are the computation of the reward per unit of time and the rate of the expected value of the reward.

One interpretation of such representations is that they are needed for subsequent computation of a reward prediction error (Rangel and Hare, 2010).

These signals may still remain of functional significance for other computations (such as subsequent computation of the reward prediction error [ Rangel and Hare, 2010]), but our perspective on how they are generated is changed.

To make this more explicit in the Discussion, we have added: " These signals may still remain of functional significance for other computations (such as subsequent computation of the reward prediction error (Rangel and Hare, 2010)." And: " A further important caveat is that chosen value correlates may be explained by different mechanisms at different points in the trial".