Abstract: Active learning (AL) is a machine learning technique that aims to reduce annotation costs by selectively choosing the most informative samples for labeling. This process relies on ...
Abstract: Designing a reward function is never a trivial task when implementing Reinforcement Learning (RL) agents. Instead, it is one of the most crucial steps for ensuring a stable and robust ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results