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Fig. 2 | Intensive Care Medicine Experimental

Fig. 2

From: Reinforcement learning for intensive care medicine: actionable clinical insights from novel approaches to reward shaping and off-policy model evaluation

Fig. 2

Action space density distribution of the historical actions of physicians in the dataset and illustration of the RL king-knight policy restriction. The red box shows under which actions the RL policy may recommend cessation of mechanical ventilation and the yellow box shows what actions a policy may next recommend if the current action (the small green box) is PEEP 6–10 cmH2O with FiO2 40–60%. NV stands for Non-invasively ventilated

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