A dynamic approach to support outbreak management using reinforcement learning and semi-connected SEIQR models
Abstract Background Containment measures slowed the spread of COVID-19 but led to a global economic crisis. We establish a reinforcement learning (RL) algorithm that balances disease control and economic activities. Methods To train the RL agent, we design an RL environment with 4 semi-connected reg...
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| Main Authors: | , , , |
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| Format: | Book |
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BMC,
2024-03-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |