Nature

A hybrid actor–critic and BERT framework for intelligent course recommendation in IoT-aware e-learning systems

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.
Nature

Risk sensitive twin distributional critics with a lambda lower confidence bound for continuous control reinforcement learning

Off-policy actor–critic methods such as Twin Delayed Deep Deterministic Policy Gradient (TD3) are the workhorse of continuous-control reinforcement learning. However, they rely on scalar value ...