Sentence examples for reward model from inspiring English sources

By using the reward model, founders capture synergies between their product and capital markets.

Accordingly, performability evaluation is inherently well suited for application of reward model solution techniques.

In order to solve for Y, we progressively translate its formulation until it becomes an aggregate of constituent measures conducive to efficient reward model solutions.

One such contract the "reward" model, which rewards funders with units of product offers firms and funders the promise of reducing uncertainty by generating new information about consumer demand.

Starting from the high-level description of a system, a Markov reward model is constructed from the Control Data Flow Graph (CDFG) and a component characterization library targeting FPGAs.

On the other hand, the complexity of performability evaluation for solving engineering problems may prevent us from utilizing those techniques directly, suggesting the need for approaches that would enable us to exploit reward model solution techniques through problem transformation.

Both discrete models and continuous reward models are considered.

Undecidability is established for policy-existence problems for partially observable infinite-horizon Markov decision processes under discounted and undiscounted total reward models, average-reward models, and state-avoidance models.

Based on the reward-mapping-enabled intermediate model, we specify reward structures in the composite base model which is built on three stochastic activity network reward models.

Their reward models have left the banking sector with "compensation ratios" – the proportion of revenues paid out to staff – commonly as high as 40%.

This paper presents a methodology to analyze the cumulated output and the lot completion time moments of Markovian reward models.