A new adaptive variance estimator for relative sparsity coefficients is introduced that fully utilizes the prior asymptotic normality theorem and incorporates variable selection effects.
Popcorn: Partially observed prediction constrained reinforcement learning
3 Pith papers cite this work. Polarity classification is still indexing.
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VentAgent uses LLMs in a three-stage Perception-Planning-Orchestration hierarchy to perform multi-objective arbitration for mechanical ventilation in ARDS, outperforming RL baselines on a simulator while producing human-readable reasoning.
LLMs cannot solve the medical treatment problem through imitation alone because it requires evidence from experiments or observations, posing ethical challenges for training such systems.
citing papers explorer
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An adaptive variance estimator for relative sparsity
A new adaptive variance estimator for relative sparsity coefficients is introduced that fully utilizes the prior asymptotic normality theorem and incorporates variable selection effects.
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VentAgent: When LLMs Learn to Breathe -- Multi-Objective Arbitration for ARDS Ventilation
VentAgent uses LLMs in a three-stage Perception-Planning-Orchestration hierarchy to perform multi-objective arbitration for mechanical ventilation in ARDS, outperforming RL baselines on a simulator while producing human-readable reasoning.
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Treatment, evidence, imitation, and chat
LLMs cannot solve the medical treatment problem through imitation alone because it requires evidence from experiments or observations, posing ethical challenges for training such systems.