Research map / Reinforcement learning / Offline RL
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add an Apache II-based intermediate reward (ablation) | DeepVent- (CQL) · MIMIC-III | FQE mean initial state value estimate: 0.729}\pm .002 -> 0.743}\pm .005 | Helped |
| use CQL instead of the physician policy | MIMIC-III ventilation treatment · MIMIC-III | FQE mean initial state value estimate: 0.502\pm .007 -> 0.743}\pm .005 | Helped |
| use CQL instead of behavior cloning | MIMIC-III ventilation treatment · MIMIC-III | FQE mean initial state value estimate: 0.572 }\pm .002 -> 0.743}\pm .005 | Helped |
| use conservative Q-learning rather than DDQN | DeepVent · MIMIC-III out-of-distribution patients | initial-state value overestimation | Helped |
| use conservative Q-learning rather than DDQN | ventilator action recommendations · MIMIC-III | recommendation safety | Helped |
| apply DeepVent to out-of-distribution patients | DeepVent · MIMIC-III out-of-distribution patients | recommendation safety | No clear effect |
Closest papers by meaning
- Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework (AAAI 2025 · similarity 0.90)
- Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies (NeurIPS 2025 · similarity 0.86)
- Pre-training with Synthetic Data Helps Offline Reinforcement Learning (ICLR 2024 · similarity 0.82)
- C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning (ICML 2025 · similarity 0.82)
- Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning (ICLR 2025 · similarity 0.82)
- When should we prefer Decision Transformers for Offline Reinforcement Learning? (ICLR 2024 · similarity 0.81)
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