Using Deep Reinforcement Learning to locate ambulances between calls

A classic Health Operations problem is  where to locate ambulances between calls in order to minimise time from emergency call to ambulance on-scene. This is known as the Ambulance Location problem.

We have developed a simple simulation of this problem and have tested a range of deep reinforcement learning agents.

The paper describing the results is:

Allen M, Pearn K, Monks T. (2021) Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem. arXiv:210104434 http://arxiv.org/abs/2101.04434

The GitHub repository for all the experiments is: https://github.com/MichaelAllen1966/qambo

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