Copertina

OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Tonwe, Mary
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Computers and Society Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Equitable Evaluation via Elicitation
di: Du, Elbert, et al.
Pubblicazione: (2026)

Towards Environmentally Equitable AI
di: Hajiesmaili, Mohammad, et al.
Pubblicazione: (2024)

Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning
di: Taib, Musa, et al.
Pubblicazione: (2024)

Transit for All: Mapping Equitable Bike2Subway Connection using Region Representation Learning
di: Namgung, Min, et al.
Pubblicazione: (2025)

Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings
di: Periáñez, África, et al.
Pubblicazione: (2024)

Empowering Epidemic Response: The Role of Reinforcement Learning in Infectious Disease Control
di: Liu, Mutong, et al.
Pubblicazione: (2026)

Interdisciplinary Expertise to Advance Equitable Explainable AI
di: Bennett, Chloe R., et al.
Pubblicazione: (2024)

Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
di: Pouget, Angéline, et al.
Pubblicazione: (2025)

Evacuation Management Framework towards Smart City-wide Intelligent Emergency Interactive Response System
di: Abraham, Anuj, et al.
Pubblicazione: (2024)

Towards Equitable Agile Research and Development of AI and Robotics
di: Hundt, Andrew, et al.
Pubblicazione: (2024)

Learning-to-Explain through 20Q Gaming: An Explainable Recommender for Cybersecurity Education
di: Nusrat, Mary, et al.
Pubblicazione: (2026)

Evaluating Large Language Models for Fair and Reliable Organ Allocation
di: Kim, Brian Hyeongseok, et al.
Pubblicazione: (2025)

Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer
di: Tamboli, Dipesh, et al.
Pubblicazione: (2024)

EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
di: Moerland, Thomas M., et al.
Pubblicazione: (2023)

Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials
di: Trella, Anna L., et al.
Pubblicazione: (2024)

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
di: Zhao, Chen, et al.
Pubblicazione: (2024)

A Post-Processing-Based Fair Federated Learning Framework
di: Zhou, Yi, et al.
Pubblicazione: (2025)

Integrating Reason-Based Moral Decision-Making in the Reinforcement Learning Architecture
di: Dargasz, Lisa
Pubblicazione: (2025)

Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
di: Peng, Xiyue, et al.
Pubblicazione: (2024)

Explainable AI for Mental Health Emergency Returns: Integrating LLMs with Predictive Modeling
di: Ahmed, Abdulaziz, et al.
Pubblicazione: (2025)

Optimizing Urban Service Allocation with Time-Constrained Restless Bandits
di: Mao, Yi, et al.
Pubblicazione: (2025)

Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support
di: Mahajan, Anubha, et al.
Pubblicazione: (2024)

A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation
di: Lei, Songxin, et al.
Pubblicazione: (2025)

A Multi-Plant Machine Learning Framework for Emission Prediction, Forecasting, and Control in Cement Manufacturing
di: Fayaz, Sheikh Junaid, et al.
Pubblicazione: (2026)

Responsible Artificial Intelligence: A Structured Literature Review
di: Goellner, Sabrina, et al.
Pubblicazione: (2024)

AI-powered Digital Framework for Personalized Economical Quality Learning at Scale
di: VatandoustMohammadieh, Mrzieh, et al.
Pubblicazione: (2024)

Advancing Crime Linkage Analysis with Machine Learning: A Comprehensive Review and Framework for Data-Driven Approaches
di: Lima, Vinicius, et al.
Pubblicazione: (2024)

VirnyFlow: A Design Space for Responsible Model Development
di: Herasymuk, Denys, et al.
Pubblicazione: (2025)

Non-myopic Matching and Rebalancing in Large-Scale On-Demand Ride-Pooling Systems Using Simulation-Informed Reinforcement Learning
di: Namdarpour, Farnoosh, et al.
Pubblicazione: (2025)

When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital
di: Kothari, Avni, et al.
Pubblicazione: (2025)

FairJob: A Real-World Dataset for Fairness in Online Systems
di: Vladimirova, Mariia, et al.
Pubblicazione: (2024)

Reinforcement Learning for Sustainable Energy: A Survey
di: Ponse, Koen, et al.
Pubblicazione: (2024)

From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
di: Kou, Tianqi
Pubblicazione: (2024)

Towards Socially and Environmentally Responsible AI
di: Li, Pengfei, et al.
Pubblicazione: (2024)

A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models
di: Zhang, Hengyuan, et al.
Pubblicazione: (2024)

Protecting Student Mental Health with a Context-Aware Machine Learning Framework for Stress Monitoring
di: Ovi, Md Sultanul Islam, et al.
Pubblicazione: (2025)

Ontology of Belief Diversity: A Community-Based Epistemological Approach
di: Fischella, Tyler, et al.
Pubblicazione: (2024)

What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning
di: Deng, Zhihong, et al.
Pubblicazione: (2024)

Approaches to Responsible Governance of GenAI in Organizations
di: Gandhi, Dhari, et al.
Pubblicazione: (2025)

Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses
di: Baral, Sami, et al.
Pubblicazione: (2024)