Russian scientists have improved the spatial orientation abilities of neural networks
Researchers from the NUST MISIS and NRU HSE Universities found a way to enhance reinforcement learning for neural networks specialized in spatial orientation. By incorporating an attention mechanism that allows models to focus on the most critical input data when making predictions, the efficiency of graph neural networks increased by 15%.