Artificial Intelligence & Probabilistic Reasoning Lab
한국과학기술원 본교(제1캠퍼스) 김재철AI대학원
김기응 교수
Multi-Agent Systems
Bayesian Learning
Policy Optimization
발행물
전체 논문
130
31
Representation Balancing Offline Model-based Reinforcement Learning
Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim
International Conference on Learning Representations (ICLR), 2021
32
효율적인 평생학습 알고리즘의 모델기반 강화학습 적용에 관한 연구
이병준, 이종민, 최윤선, 장영수, 김기응
한국소프트웨어종합학술대회, 한국정보과학회, 2020
33
Variational Interaction Information Maximization for Cross-domain Disentanglement
HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
Advances in Neural Information Processing Systems (NeurIPS), 2020
34
Reinforcement Learning for Control with Multiple Frequencies
Jongmin Lee, Byung-Jun Lee, Kee-Eung Kim
Advances in Neural Information Processing Systems (NeurIPS), 2020
35
Variational Inference for Sequential Data with Future Likelihood Estimates
Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
Proceedings of the International Conference on Machine Learning (ICML), 2020
36
Batch Reinforcement Learning with Hyperparameter Gradients
Byung-Jun Lee*, Jongmin Lee*, Peter Vrancx, Dongho Kim, Kee-Eung Kim
Proceedings of the International Conference on Machine Learning (ICML), 2020
37
End-to-End Neural Pipeline for Goal-Oriented Dialogue System using GPT-2
Donghoon Ham*, Jeong-Gwan Lee*, Youngsoo Jang, Kee-Eung Kim
Annual Conference of the Association for Computational Linguistics (ACL), 2020
38
Neural Pipeline for Goal-Oriented Dialogue System using GPT-2
Donghoon Ham, Jeong-Gwan Lee, Youngsoo Jang, Kee-Eung Kim
Annual Conference of the Association for Computational Linguistics (ACL), 2020
39
Residual Neural Processes
Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020
40
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues
Youngsoo Jang, Jongmin Lee, Kee-Eung Kim
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020