SepsisAgent is a world-model-augmented LLM agent trained via supervised fine-tuning, behavior cloning, and agentic RL that outperforms RL and LLM baselines on MIMIC-IV sepsis trajectories in off-policy value and safety metrics.
Model-free reinforcement learning for automated fluid administration in critical care.arXiv preprint arXiv:2401.06299, 2024
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Agentifying Patient Dynamics within LLMs through Interacting with Clinical World Model
SepsisAgent is a world-model-augmented LLM agent trained via supervised fine-tuning, behavior cloning, and agentic RL that outperforms RL and LLM baselines on MIMIC-IV sepsis trajectories in off-policy value and safety metrics.