Empowering Epidemic Response: The Role of Reinforcement Learning in Infectious Disease Control
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Mutong, Liu, Yang, Liu, Jiming |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Socially and Environmentally Responsible AI
by: Li, Pengfei, et al.
Published: (2024)
by: Li, Pengfei, et al.
Published: (2024)
Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
by: Peng, Xiyue, et al.
Published: (2024)
by: Peng, Xiyue, et al.
Published: (2024)
OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities
by: Tonwe, Mary
Published: (2025)
by: Tonwe, Mary
Published: (2025)
H2-MARL: Multi-Agent Reinforcement Learning for Pareto Optimality in Hospital Capacity Strain and Human Mobility during Epidemic
by: Luo, Xueting, et al.
Published: (2025)
by: Luo, Xueting, et al.
Published: (2025)
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)
On the Cause of Unfairness: A Training Sample Perspective
by: Yao, Yuanshun, et al.
Published: (2023)
by: Yao, Yuanshun, et al.
Published: (2023)
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
by: Moerland, Thomas M., et al.
Published: (2023)
by: Moerland, Thomas M., et al.
Published: (2023)
Explainable AI for Predicting and Understanding Mathematics Achievement: A Cross-National Analysis of PISA 2018
by: Liu, Liu, et al.
Published: (2025)
by: Liu, Liu, et al.
Published: (2025)
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
by: Liu, Mingxuan, et al.
Published: (2024)
by: Liu, Mingxuan, et al.
Published: (2024)
Toward Fair Federated Learning under Demographic Disparities and Data Imbalance
by: Wu, Qiming, et al.
Published: (2025)
by: Wu, Qiming, et al.
Published: (2025)
Learning Fair Models without Sensitive Attributes: A Generative Approach
by: Zhu, Huaisheng, et al.
Published: (2022)
by: Zhu, Huaisheng, et al.
Published: (2022)
Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials
by: Trella, Anna L., et al.
Published: (2024)
by: Trella, Anna L., et al.
Published: (2024)
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
by: Zhao, Chen, et al.
Published: (2024)
by: Zhao, Chen, et al.
Published: (2024)
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
by: Gohar, Usman, et al.
Published: (2024)
by: Gohar, Usman, et al.
Published: (2024)
Integrating Reason-Based Moral Decision-Making in the Reinforcement Learning Architecture
by: Dargasz, Lisa
Published: (2025)
by: Dargasz, Lisa
Published: (2025)
Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings
by: Periáñez, África, et al.
Published: (2024)
by: Periáñez, África, et al.
Published: (2024)
Addressing Polarization and Unfairness in Performative Prediction
by: Jin, Kun, et al.
Published: (2024)
by: Jin, Kun, et al.
Published: (2024)
Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation
by: Sun, Shuzhou, et al.
Published: (2025)
by: Sun, Shuzhou, et al.
Published: (2025)
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support
by: Mahajan, Anubha, et al.
Published: (2024)
by: Mahajan, Anubha, et al.
Published: (2024)
A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models
by: Zhang, Hengyuan, et al.
Published: (2024)
by: Zhang, Hengyuan, et al.
Published: (2024)
Procedural Fairness Through Decoupling Objectionable Data Generating Components
by: Tang, Zeyu, et al.
Published: (2023)
by: Tang, Zeyu, et al.
Published: (2023)
Mitigating Gender Bias in Depression Detection via Counterfactual Inference
by: Hu, Mingxuan, et al.
Published: (2025)
by: Hu, Mingxuan, et al.
Published: (2025)
Learning Disease Progression Models That Capture Health Disparities
by: Chiang, Erica, et al.
Published: (2024)
by: Chiang, Erica, et al.
Published: (2024)
Beyond AlphaEarth: Toward Human-Centered Geospatial Foundation Models via POI-Guided Contrastive Learning
by: Liu, Junyuan, et al.
Published: (2025)
by: Liu, Junyuan, et al.
Published: (2025)
Non-myopic Matching and Rebalancing in Large-Scale On-Demand Ride-Pooling Systems Using Simulation-Informed Reinforcement Learning
by: Namdarpour, Farnoosh, et al.
Published: (2025)
by: Namdarpour, Farnoosh, et al.
Published: (2025)
Unified Uncertainty Estimation for Cognitive Diagnosis Models
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
by: Kou, Tianqi
Published: (2024)
by: Kou, Tianqi
Published: (2024)
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning
by: Deng, Zhihong, et al.
Published: (2024)
by: Deng, Zhihong, et al.
Published: (2024)
A Multi-Plant Machine Learning Framework for Emission Prediction, Forecasting, and Control in Cement Manufacturing
by: Fayaz, Sheikh Junaid, et al.
Published: (2026)
by: Fayaz, Sheikh Junaid, et al.
Published: (2026)
FairDD: Fair Dataset Distillation
by: Zhou, Qihang, et al.
Published: (2024)
by: Zhou, Qihang, et al.
Published: (2024)
Approaches to Responsible Governance of GenAI in Organizations
by: Gandhi, Dhari, et al.
Published: (2025)
by: Gandhi, Dhari, et al.
Published: (2025)
Invariant Causal Routing for Governing Social Norms in Online Market Economies
by: Yu, Xiangning, et al.
Published: (2026)
by: Yu, Xiangning, et al.
Published: (2026)
Detection of Problem Gambling with Less Features Using Machine Learning Methods
by: Jiao, Yang, et al.
Published: (2024)
by: Jiao, Yang, et al.
Published: (2024)
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds
by: Bothmann, Ludwig, et al.
Published: (2022)
by: Bothmann, Ludwig, et al.
Published: (2022)
Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models
by: Feng, Duanyu, et al.
Published: (2023)
by: Feng, Duanyu, et al.
Published: (2023)
Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models
by: Era, Jalisha Jashim, et al.
Published: (2025)
by: Era, Jalisha Jashim, et al.
Published: (2025)
Responsible Artificial Intelligence: A Structured Literature Review
by: Goellner, Sabrina, et al.
Published: (2024)
by: Goellner, Sabrina, et al.
Published: (2024)
Personalized Knowledge Tracing through Student Representation Reconstruction and Class Imbalance Mitigation
by: Chen, Zhiyu, et al.
Published: (2024)
by: Chen, Zhiyu, et al.
Published: (2024)
EpiPlanAgent: Agentic Automated Epidemic Response Planning
by: Mao, Kangkun, et al.
Published: (2025)
by: Mao, Kangkun, et al.
Published: (2025)
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
by: Zhu, Zhaowei, et al.
Published: (2023)
by: Zhu, Zhaowei, et al.
Published: (2023)
Similar Items
-
Towards Socially and Environmentally Responsible AI
by: Li, Pengfei, et al.
Published: (2024) -
Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
by: Peng, Xiyue, et al.
Published: (2024) -
OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities
by: Tonwe, Mary
Published: (2025) -
H2-MARL: Multi-Agent Reinforcement Learning for Pareto Optimality in Hospital Capacity Strain and Human Mobility during Epidemic
by: Luo, Xueting, et al.
Published: (2025) -
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)