Funded by NRF [우수신진연구, 최초혁신실험실]
Development of Personalized Recommendation System Based on Emotions-Aware Reinforcement Learning
Funded by IITP
Development of Algorithmic Trading System Based on Deep Reinforcement Learning
Funded by NRF
with a success rate of over 90% for structured/unstructured object recognition suitable for the service field.
Funded by Seoul Business Agency
Funded by Doo-San
인공지능대학원 인재양성 지원 사업 - 중앙대학교
Funded by MSIT
Funded by Hyundai NGV
Funded by Doo-San
Funded by NRF
Collaborate with Mathpresso
Collaborate with Hyundai NGV
Collaborate with Kakao Brain
This work was published at ECCV 2022
Funded by Doo-San
Collaborate with Naver Clova AI
This work was published at NeurIPS 2021
Funded by NRF
Collaborate with Kakao Brain
This work was published at RSS 2020