Lab directory
Kee-Eung Kim
Kee-Eung Kim
KAIST · Graduate School of AI
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Professor
Prof. 김기은
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AIPR(Artificial Intelligence and Probabilistic Reasoning) 연구실을 이끌며 순차적 의사결정 문제를 위한 모델과 알고리즘을 연구한다. 마르코프 결정과정(MDP)과 부분관측 MDP(POMDP), 강화학습을 기반으로 하며, 최근에는 대규모 언어모델과 멀티에이전트 시스템에 강화학습을 적용하는 연구를 수행한다.
Research keywords
Machine learningartificial intelligencereinforcement learning
Other labs in this department
- AI and Machine Learning LabRecruiting
Kee-Eung Kim
Artificial Intelligence, Machine Learning, Reinforcement Learning
- Robotics and ML LabRecruiting
Beomjoon Kim
Robotics, machine learning, planning
- Sehoon KimRecruiting
AI systems, efficient AI, large language models
- Computer Vision LabRecruiting
Seungryong Kim
Computer vision, machine learning
- Visual Intelligence LabRecruiting
Hyunjung Shim
Computer vision, machine learning
- Probabilistic AI LabRecruiting
Eunho Yang
Machine learning, artificial intelligence