상세정보
학술대회
An Experimental Study on Reinforcement Learning on IoT Devices with Distilled Knowledge
- 발행일
- 202010
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.869-871
- 협약과제
- 20ZR1100, 자율적으로 연결·제어·진화하는 초연결 지능화 기술 연구, 박준희
- 초록
- 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 제안 키워드
- An experimental study, IoT Devices, New model, Reinforcement Learning(RL)