Cover Image

On Safer Reinforcement Learning for Sedation and Analgesia in Intensive Care

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Romero-Hernandez, Joel, Camara, Oscar
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning
by: Hazra, Somnath, et al.
Published: (2025)

Intensive Care as One Big Sequence Modeling Problem
by: Liventsev, Vadim, et al.
Published: (2024)

LUME-DBN: Full Bayesian Learning of DBNs from Incomplete data in Intensive Care
by: Pirola, Federico, et al.
Published: (2025)

Consensus Sampling for Safer Generative AI
by: Kalai, Adam Tauman, et al.
Published: (2025)

Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning
by: Frost, Thomas, et al.
Published: (2024)

ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders
by: Ji, Zongliang, et al.
Published: (2025)

Early Prediction of Multi-Label Care Escalation Triggers in the Intensive Care Unit Using Electronic Health Records
by: Bukhari, Syed Ahmad Chan, et al.
Published: (2025)

Market Making Strategies with Reinforcement Learning
by: Vicente, Óscar Fernández
Published: (2025)

A Dataset and Benchmarks for Atrial Fibrillation Detection from Electrocardiograms of Intensive Care Unit Patients
by: Nassar, Sarah, et al.
Published: (2025)

Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability
by: Yamabe, Shojiro, et al.
Published: (2025)

Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources
by: Li, Yikuan, et al.
Published: (2023)

PULSE-ICU: A Pretrained Unified Long-Sequence Encoder for Multi-task Prediction in Intensive Care Units
by: Jang, Sejeong, et al.
Published: (2025)

Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets
by: Banus, Jaume, et al.
Published: (2020)

Network Level Evaluation of Hangup Susceptibility of HRGCs using Deep Learning and Sensing Techniques: A Goal Towards Safer Future
by: Chatterjee, Kaustav, et al.
Published: (2025)

Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?
by: Bengio, Yoshua, et al.
Published: (2025)

Advancing Multi-Organ Disease Care: A Hierarchical Multi-Agent Reinforcement Learning Framework
by: Tan, Daniel J., et al.
Published: (2024)

DeepEN: A Deep Reinforcement Learning Framework for Personalized Enteral Nutrition in Critical Care
by: Tan, Daniel Jason, et al.
Published: (2025)

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks
by: Grillo, Niccolò, et al.
Published: (2025)

FactsR: A Safer Method for Producing High Quality Healthcare Documentation
by: Hansen, Victor Petrén Bach, et al.
Published: (2025)

Severity Classification of Chronic Obstructive Pulmonary Disease in Intensive Care Units: A Semi-Supervised Approach Using MIMIC-III Dataset
by: Shojaei, Akram, et al.
Published: (2025)

REAL: Regression-Aware Reinforcement Learning for LLM-as-a-Judge
by: Zhang, Yasi, et al.
Published: (2026)

SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas
by: Guo, Zihao, et al.
Published: (2025)

SPAARS: Safer RL Policy Alignment through Abstract Exploration and Refined Exploitation of Action Space
by: K, Swaminathan S, et al.
Published: (2026)

Certifiable Safe RLHF: Fixed-Penalty Constraint Optimization for Safer Language Models
by: Pandit, Kartik, et al.
Published: (2025)

An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
by: Plecko, Drago, et al.
Published: (2025)

Learning to Optimize for Reinforcement Learning
by: Lan, Qingfeng, et al.
Published: (2023)

Efficient Single-Step Framework for Incremental Class Learning in Neural Networks
by: Dopico-Castro, Alejandro, et al.
Published: (2025)

Deliberative Alignment: Reasoning Enables Safer Language Models
by: Guan, Melody Y., et al.
Published: (2024)

R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning
by: Song, Sanghyeob, et al.
Published: (2026)

Experiential Reinforcement Learning
by: Shi, Taiwei, et al.
Published: (2026)

Is there Value in Reinforcement Learning?
by: Fox, Lior, et al.
Published: (2025)

Reinforcement Learning: An Overview
by: Murphy, Kevin
Published: (2024)

Introduction to Reinforcement Learning
by: Ghasemi, Majid, et al.
Published: (2024)

Highway Reinforcement Learning
by: Wang, Yuhui, et al.
Published: (2024)

Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning
by: Xie, Sean, et al.
Published: (2022)

The Conditions of Physical Embodiment Enable Generalization and Care
by: Christov-Moore, Leonardo, et al.
Published: (2025)

Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective
by: Zhao, Lei, et al.
Published: (2023)

Thermodynamics of Reinforcement Learning Curricula
by: Adamczyk, Jacob, et al.
Published: (2026)

The Terminal Representation in Reinforcement Learning
by: Esterhuysen, Amir, et al.
Published: (2026)

Speculative Sampling with Reinforcement Learning
by: Wang, Chenan, et al.
Published: (2026)