Information-driven adaptive sensing based on deep reinforcement learning

A Murad, FA Kraemer, K Bach, G Taylor - Proceedings of the 10th …, 2020 - dl.acm.org
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 based …
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Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning

A Murad, FA Kraemer, K Bach… - IoT'20: Proceedings of the …, 2020 - ntnuopen.ntnu.no
In order to make better use of deep reinforcement learning in the creation of sensing policies
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Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning

A Murad, FA Kraemer, K Bach, G Taylor - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
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 based …

Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning

A Murad, FA Kraemer, K Bach, G Taylor - arXiv preprint arXiv:2010.04112, 2020 - arxiv.org
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 based …
[PDF] researchgate.net

[PDF][PDF] Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning

A Murad, FA Kraemer, K Bach, G Taylor - researchgate.net
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 based …