Sentence examples for class of reinforcement from inspiring English sources

Q-learning is a class of reinforcement learning algorithms (RL) first introduced by Watkins et al. [36].

The unusual mechanical properties of carbon nanotubes (CNTs) such as high hardness, low coefficient of friction, and high wear and corrosion resistance render them an ideal class of reinforcement for multiple biomedical applications including tissue engineering, biomedicine, biomaterials, (bio) sensors, catalysts, and so on [2 12].

In addition, we previously demonstrated that the matching law emerges in a class of the reinforcement learning systems including the actor-critic[20], [21], which has widely been used in engineering applications.

The model description for each class of textile reinforcements includes coding of the corresponding textile architecture and principles of building a geometrical model of the textile, which provides a full description of the yarn placement.

This extension completes the development of the theory for three important classes of unidirectional reinforcement arrays, thereby providing an efficient alternative to finite-element based homogenization techniques or approximate micromechanical schemes, as well as an efficient standard against which other methods may be compared.

While the number of roots mainly influences the magnitude of the reinforcement, the distribution of roots in different diameter classes influences the magnitude of reinforcement, with a factor ranging from 1 to 3 (Cohen et al., 2011), and the stiffness of the reinforcement (Schwarz et al. 2013).

Reinforcer Type of reinforcement applied.

We have derived a class of synaptic plasticity rules for reinforcement learning in a complex neuronal cell model with NMDA-mediated dendritic nonlinearities.

The slope of this decline in reinforcement effectiveness is the delay-of-reinforcement gradient [ 68, 69].

This scenario cannot account for quality-of-reinforcement memory.

The delay-of-reinforcement gradient provides a way to describe how reinforcement processes are altered in ADHD.