Sentence examples for computational reinforcement from inspiring English sources

In appetitive choice, substantial experimental evidence, underpinned by computational reinforcement learning2 (RL) theory, indicates that a dopaminergic3,4, striatal5,6,7,8,9 and medial prefrontal network mediates learning to exploit.

Students learn about techniques like computational reinforcement learning by one of the inventors of the technique (Richard Sutton).

Richard Sutton, a creator of modern computational reinforcement learning (RL), gave an introductory lecture to RL techniques.

She received a BA in Psychology from Princeton University, writing a senior thesis in computational reinforcement learning under Dr. Yael Niv.

By applying computational reinforcement learning models to subjects' discrimination performance, the apparent enhanced sensitivity to misleading reinforcement described in the present study can be accounted for, somewhat counterintuitively, in terms of an overall reduction in reinforcement sensitivity.

Finally, we complemented our main regression analysis with a full computational reinforcement-learning model, for which the methods are detailed in the supplementary materials.

Computational models of reinforcement learning (RL) strive to produce behavior that maximises reward, and thus allow software or robots to behave adaptively [1].

Niv's computational work on reinforcement learning, as this process is known, is aimed at unlearning such traumatic associations.

While there has been significant progress in portable abstractions for deep learning (e.g., ONNX), in the absence of a single dominant computational pattern for reinforcement learning (i.e., tensor algebra), there has been comparatively less progress in abstractions specifically targeting RL.

In computational models of reinforcement learning, loss frequency affects action selection [ 60].

The homogenized permeability of a non-crimp textile reinforcement is computed using computational fluid dynamics with voxel geometrical models.