Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning

Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach +1

In order to make better use of deep reinforcement learning in the creation of sensing policies for resource-constrained IoT devices, we present and study a novel reward function ba…