物联网传感器健身房:用深度强化学习训练自主物联网设备

Proceedings of the 9th International Conference on the Internet of Things Pub Date : 2019-10-22 DOI:10.1145/3365871.3365911

Abdulmajid Murad, Kerstin Bach, F. Kraemer, Gavin Taylor

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引用次数: 6

摘要

我们描述了IoT Sensor Gym，这是一个使用深度强化学习来训练受限物联网设备行为的框架。我们专注于主要的架构选择，将物联网领域的问题与尖端的强化学习算法结合起来，并以太阳能物联网设备的自主控制为例说明我们的结果。

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IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning

We describe IoT Sensor Gym, a framework to train the behavior of constrained IoT devices using deep reinforcement learning. We focus on the main architectural choices to align problems from the IoT domain with cutting-edge reinforcement learning algorithms and exemplify our results with the autonomous control of a solar-powered IoT device.

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Proceedings of the 9th International Conference on the Internet of Things

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