Tag: sample efficiency

A new study reveals that while larger batch sizes reduce the update steps needed for neural networks to grok, they ...

A new method called SADA combines active learning with domain adaptation to cut the labeled data needed to train spiking ...

The study, published in Frontiers in Neurorobotics by researchers at Chiba Institute of Technology, arrives at a moment when the ...

Researchers in China have developed RAUD-MAPPO, a role-aware and uncertainty-driven multi-agent reinforcement learning framework that raises win rates and enables ...

Researchers at the Dalian Institute of Chemical Physics have used a deep reinforcement learning framework with adaptive noise scaling to ...