IoT Sensor Gym
Abdulmajid Murad, Kerstin Bach, Frank Alexander Kraemer, Gavin Taylor · 2019
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.