Offline reinforcement learning with uncertainty for treatment strategies in sepsis

Multi-focus image fusion: Transformer and shallow feature attention matters

“…Offline RL has gained significant attention in recent years due to its potential to leverage large amounts of pre-existing data and to solve RL problems in scenarios where online exploration is impractical or costly. Examples of such scenarios include medical treatment optimization [33], finance [46], and recommendation systems [55].…”