Sentence examples for learning from interaction from inspiring English sources

Exact(3)

This is an important kind of learning; however, it alone is not sufficient for learning from interaction.

It is a general problem that is very relevant in many tasks, for example, in the context of robot model learning from interaction with the world.

Despite all limitations, RL is the first field to seriously address the computational issues that arise when learning from interaction with an environment in order to achieve long-term goals, because it makes use of a formal framework defining the interaction between a learning agent and its environment in terms of states, actions, and rewards.

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Tay was created by the Microsoft Technology and Research and Bing teams in an effort to conduct research on conversational understanding, and was billed as being capable of learning from interactions with people.

(P12) They also continue learning from interactions with the home therapies nurse, who they contact for machine-handling or patient-related issues, and from the renal technician, who they contact about more technical issues.

Conventional speech interaction systems (SISs) are trained to the user's voice whilst most modern systems learn from interaction experience overtime.

The ability to learn from interaction with the exterior world as well as variability are two main features of living organisms.

It might well be argued that a lot can be learned from interaction and discussion between these fields and a fruitful interaction with the two other strands discussed above (cultural and political approaches and engineering ethics).

This behavior has also been seen in at least one group of blacktip reef sharks, but this might be learned from interaction with humans (it is theorized that the shark may also be able to smell better this way because smell travels through air faster than through water).

To enable the SemiSVR to learn from interaction data of multiple PDZ domains, the primary sequence of each PDZ domain and peptide in our training set was encoded as a feature vector (as compared with single domain testing where only peptides were encoded).

Children learn from interactions with peers as much as from their teachers and parents.

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