Distributed Reinforcement Learning in Emergency Response Simulation

Distributed Reinforcement Learning in Emergency Response Simulation

This paper presents the implementation of a coordinated decision-making agent for emergency response scenarios. The agent’s implementation uses reinforcement learning (RL). RL is a machine learning technique that enables an agent to learn from experimenting. The agent’s learnin...

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Bibliographic Details
Main Authors: Cesar Lopez, Jose R. Marti, Sarbjit Sarkaria
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Distributed reinforcement learning agent
interdependencies simulation
decision making in emergency response
complex systems
disaster response
Online Access:https://ieeexplore.ieee.org/document/8517101/

Internet

https://ieeexplore.ieee.org/document/8517101/

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