2025
Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies
NeurIPS 2025spotlight
When applying offline reinforcement learning (RL) in healthcare scenarios, the out-of-distribution (OOD) issues pose significant risks, as inappropriate generalization beyond clinical expertise can result in potentially harmful recommendations. While existing methods like conservative Q-learning (C…