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Conference Paper
An Experimental Study on Reinforcement Learning on IoT Devices with Distilled Knowledge
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- Authors
- Ingook Jang, Seonghyun Kim, Hyunseok Kim, Chan-Won Park, Jun Hee Park
- Issue Date
- 2020-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.869-871
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper provides an experimental study of reinforcement learning on IoT devices using distilled knowledge, whose a teacher with a well-trained model transfers to a student with a new model to be trained. The experimental results show that the distilled knowledge is effective to a new model training on IoT devices.
- KSP Keywords
- An experimental study, IoT Devices, New model, Reinforcement Learning(RL)