SIR-RL: Reinforcement Learning for Optimized Policy Control during Epidemiological Outbreaks in Emerging Market and Developing Economies
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Jain, Maeghal, Uddin, Ziya, Ibrahim, Wubshet |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources
par: Babanejaddehaki, Ghazaleh, et autres
Publié: (2024)
par: Babanejaddehaki, Ghazaleh, et autres
Publié: (2024)
Modeling, Inference, and Prediction in Mobility-Based Compartmental Models for Epidemiology
par: Jiang, Ning, et autres
Publié: (2024)
par: Jiang, Ning, et autres
Publié: (2024)
Epidemiology of the Living Dead: A social Force Model of a Zombie Outbreak
par: Balkovitz, Sydney, et autres
Publié: (2024)
par: Balkovitz, Sydney, et autres
Publié: (2024)
Modeling and Optimization of Epidemiological Control Policies Through Reinforcement Learning
par: Rao, Ishir
Publié: (2024)
par: Rao, Ishir
Publié: (2024)
Learning Pareto-Optimal Pandemic Intervention Policies with MORL
par: Chen, Marian, et autres
Publié: (2025)
par: Chen, Marian, et autres
Publié: (2025)
Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
par: Kratz, Josiah C., et autres
Publié: (2024)
par: Kratz, Josiah C., et autres
Publié: (2024)
Spatiotemporal Determinants of Vector-Borne Disease Outbreaks
par: Poudyal, Bibandhan, et autres
Publié: (2025)
par: Poudyal, Bibandhan, et autres
Publié: (2025)
A Physics-Informed Neural Networks-Based Model Predictive Control Framework for $SIR$ Epidemics
par: Zhong, Aiping, et autres
Publié: (2025)
par: Zhong, Aiping, et autres
Publié: (2025)
Global Prediction of COVID-19 Variant Emergence Using Dynamics-Informed Graph Neural Networks
par: Aawar, Majd Al, et autres
Publié: (2024)
par: Aawar, Majd Al, et autres
Publié: (2024)
Correlations Between COVID-19 and Dengue
par: Bergero, Paula, et autres
Publié: (2022)
par: Bergero, Paula, et autres
Publié: (2022)
Age-structured estimation of COVID-19 ICU demand from low quality data
par: Veiga, Rodrigo, et autres
Publié: (2020)
par: Veiga, Rodrigo, et autres
Publié: (2020)
Modeling the Impact of Exposed Cases in a Hantavirus Outbreak on a Cruise Ship
par: Cui, Jiaming
Publié: (2026)
par: Cui, Jiaming
Publié: (2026)
IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem
par: Adiga, Aniruddha, et autres
Publié: (2026)
par: Adiga, Aniruddha, et autres
Publié: (2026)
Controlling Fish Schools via Reinforcement Learning of Virtual Fish Movement
par: Nishii, Yusuke, et autres
Publié: (2026)
par: Nishii, Yusuke, et autres
Publié: (2026)
Analysis of non pharmaceutical interventions with SIR epidemic models: decreasing the infection peak vs. minimizing the epidemic size
par: Rozán, Eric, et autres
Publié: (2026)
par: Rozán, Eric, et autres
Publié: (2026)
Multi-modal Adaptive Estimation for Temporal Respiratory Disease Outbreak
par: Liu, Hong, et autres
Publié: (2025)
par: Liu, Hong, et autres
Publié: (2025)
Modeling the 2022 Mpox Outbreak with a Mechanistic Network Model
par: Crenshaw, Emma G., et autres
Publié: (2025)
par: Crenshaw, Emma G., et autres
Publié: (2025)
Epidemiological dynamics with clinically-derived infectiousness and incubation time courses
par: Ricaldi, Miguel A. Cajahuanca, et autres
Publié: (2020)
par: Ricaldi, Miguel A. Cajahuanca, et autres
Publié: (2020)
Fundamental Bound on Epidemic Overshoot in the SIR Model
par: Nguyen, Maximilian, et autres
Publié: (2023)
par: Nguyen, Maximilian, et autres
Publié: (2023)
Ambiguity in the use of SIR models to fit epidemic incidence data
par: Shayak, B, et autres
Publié: (2024)
par: Shayak, B, et autres
Publié: (2024)
Identification of a time-varying SIR Model for Covid-19
par: aselein, Walter HMendes, et autres
Publié: (2024)
par: aselein, Walter HMendes, et autres
Publié: (2024)
Analysis of COVID-19 Infection Dynamics: Extended SIR Model Approach
par: Traxler, Caleb, et autres
Publié: (2025)
par: Traxler, Caleb, et autres
Publié: (2025)
PhyloGFN: Phylogenetic inference with generative flow networks
par: Zhou, Mingyang, et autres
Publié: (2023)
par: Zhou, Mingyang, et autres
Publié: (2023)
A Deep Reinforcement Learning Framework for Closed-loop Guidance of Fish Schools via Virtual Agents
par: Shibayama, Takato, et autres
Publié: (2026)
par: Shibayama, Takato, et autres
Publié: (2026)
Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics
par: Cuong, Dinh Viet, et autres
Publié: (2024)
par: Cuong, Dinh Viet, et autres
Publié: (2024)
Wastewater-based Epidemiology for COVID-19 Surveillance and Beyond: A Survey
par: Chen, Chen, et autres
Publié: (2024)
par: Chen, Chen, et autres
Publié: (2024)
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting
par: Qiu, Mingjie, et autres
Publié: (2023)
par: Qiu, Mingjie, et autres
Publié: (2023)
A data augmentation strategy for deep neural networks with application to epidemic modelling
par: Awais, Muhammad, et autres
Publié: (2025)
par: Awais, Muhammad, et autres
Publié: (2025)
A filtering approach for statistical inference in a stochastic SIR model with an application to Covid-19 data
par: Colaneri, Katia, et autres
Publié: (2022)
par: Colaneri, Katia, et autres
Publié: (2022)
Unsupervised Learning of Phylogenetic Trees via Split-Weight Embedding
par: Kong, Yibo, et autres
Publié: (2023)
par: Kong, Yibo, et autres
Publié: (2023)
PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
par: Xie, Tianyu, et autres
Publié: (2025)
par: Xie, Tianyu, et autres
Publié: (2025)
An Ecologically-Informed Deep Learning Framework for Interpretable and Validatable Habitat Mapping
par: Benavides-Martínez, Iván Felipe, et autres
Publié: (2025)
par: Benavides-Martínez, Iván Felipe, et autres
Publié: (2025)
Cross-Country Learning for National Infectious Disease Forecasting Using European Data
par: Komodromos, Zacharias, et autres
Publié: (2026)
par: Komodromos, Zacharias, et autres
Publié: (2026)
Exploring the Dynamics of Lotka-Volterra Systems: Efficiency, Extinction Order, and Predictive Machine Learning
par: Vafaie, Sepideh, et autres
Publié: (2024)
par: Vafaie, Sepideh, et autres
Publié: (2024)
Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Individual Behavioral Learning
par: Rakhshandehroo, Radman, et autres
Publié: (2025)
par: Rakhshandehroo, Radman, et autres
Publié: (2025)
Investigating the effect of adaptive optimal control function in epidemic dynamics: predictions and strategy evolution based on SIR/V game theoretic framework
par: Rahat, Nuruzzaman, et autres
Publié: (2025)
par: Rahat, Nuruzzaman, et autres
Publié: (2025)
Controllable Sequence Editing for Biological and Clinical Trajectories
par: Li, Michelle M., et autres
Publié: (2025)
par: Li, Michelle M., et autres
Publié: (2025)
Upper Bounds on Overshoot in SIR Models with Nonlinear Incidence
par: Nguyen, Maximilian
Publié: (2023)
par: Nguyen, Maximilian
Publié: (2023)
Improving Tree Probability Estimation with Stochastic Optimization and Variance Reduction
par: Xie, Tianyu, et autres
Publié: (2024)
par: Xie, Tianyu, et autres
Publié: (2024)
Household Bubbling Strategies for Epidemic Control and Social Connectivity
par: Valdez, L. D., et autres
Publié: (2026)
par: Valdez, L. D., et autres
Publié: (2026)
Documents similaires
-
Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources
par: Babanejaddehaki, Ghazaleh, et autres
Publié: (2024) -
Modeling, Inference, and Prediction in Mobility-Based Compartmental Models for Epidemiology
par: Jiang, Ning, et autres
Publié: (2024) -
Epidemiology of the Living Dead: A social Force Model of a Zombie Outbreak
par: Balkovitz, Sydney, et autres
Publié: (2024) -
Modeling and Optimization of Epidemiological Control Policies Through Reinforcement Learning
par: Rao, Ishir
Publié: (2024) -
Learning Pareto-Optimal Pandemic Intervention Policies with MORL
par: Chen, Marian, et autres
Publié: (2025)