TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices
Tomasz Szydło, Prem Prakash Jayaraman, Yinhao Li, Graham Morgan, Rajiv Kumar Ranjan · Proceedings of the 31st ACM International Conference on Information & Knowledge Management · 2022
We observe significant interest in reinforcement learning methods for real-world sensing-control scenarios driven by the sensor data streams. However, the delay introduced to the data by the communication channels may degrade the system's performance. It is especially crucial in the internet of things (IoT), where devices with constraint resources and low throughput networks are used.