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Critical issues in modular or hierarchical reinforcement learning (RL) are (i) how to decompose a task into sub-tasks, (ii) how to achieve independence of learning of sub-tasks, and (iii) how to assure optimality of the composite policy for the entire task.
Ki,P and Ki,T represent the cost of evaluating the i'th sub-policy P i of composite policy P Comp in case P Comp is evaluated provider-side or tenant-side respectively.
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Notice that composite policies only directly require attributes because of their targets and that again, cached attributes are not taken into account.
For composite policies, the cost functions are as follows: C Comp, P = N A, P ∗ C L + N A, T ∗ C R + ∑ K i, P (CF3) C Comp, T = N A, T ∗ C L + N A, P ∗ C R + ∑ K i, T (CF4).
In principle, the ICS program was a composite labor market policy that involved several types of interventions on both the labor demand and supply sides, thus directly targeting firms and unemployed workers.
In fact, as already pointed out among others by Martin and Reggiani [24], despite the clear and useful results provided by the sub-indicators, a composite measure could allow policy makers to control for eventual confusing and/or incomplete scenarios which may appear when using only a partial approach.
Policy indicators were conceived as a composite index across a set of policy actions using a simple equal-weight linear model.
Mr. Kerry, for example, attended so few votes on social and foreign policy that his composite score in 2003 was based only on economic policy.
Consequently, the IT industry is using SOA techniques to turn the newly available XML data into business value through reusable components that implement business policies and use composite data service software.
By Evan Osnos Can Power reconcile her ardent human-rights interventionism with the "composite calculus" that must guide American policy?
On the occurrence of these events (which may be composite), the action selected by the policy rule will be executed.
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