The necessity for recommendation models that can capture both semantic information and device-mediated learner interactions has increased due to the rapid growth of IoT-aware e-learning environments.
Figure 1a illustrates that off-policy learning primarily involves two policies: the behavioral policy (b), also known as the sampling distribution, and the target policy (\(\pi\)), also known as the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results