Sentence examples for reinforcement framework from inspiring English sources

For all these therapeutic goals, specific contents were developed (collective rule making, reinforcement framework, teacher communication envelope, self-grading and grading therapists, organizational mural, monthly calendar) as well as techniques such as dramatization, diaphragmatic breathing, and problem-solving.

This reinforcement learning framework was defined as a CNN-based reinforcement learning method.

Chalkiadakis and Boutilier [18] have proposed a Bayesian model-based reinforcement learning framework for repeated coalition formation under uncertainty.

As it does not require direct gradient calculations, it can be applied to a reinforcement learning framework.

We formulate the learning problem of assistive strategies as a policy search problem and exploit a data-efficient model-based reinforcement learning framework.

Formulating the MP in the reinforcement learning framework is achieved by a compact design of the environment and the learning agent.

The SMNE algorithm uses a symbiotic evolutionary algorithm and particle swarm optimisation to learn optimal neurocontroller weights from the partially identified system within a reinforcement learning framework.

Overall, we show that options enable temporally abstract knowledge and action to be included in the reinforcement learning framework in a natural and general way.

All of these results have precursors in the existing literature; the contribution of this paper is to establish them in a simpler and more general setting with fewer changes to the existing reinforcement learning framework.

While a wealth of evidence collected over the past 15 years relates the basal ganglia to the reinforcement learning framework, only recently has much attention been paid to including psychological concepts such as working memory or episodic memory in these models.

Although this approach is not identical to the exploration/exploitation tradeoff in the reinforcement learning framework where agents must constantly decide to utilize known sources of rewards or explore for better options [4], basic elements of the exploration and exploitation behaviors are likely to be represented in our experimental setting.