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by admin last modified Aug 09, 2018 08:29 PM

This folder holds the following references to publications, sorted by year and author.

There are 84 references in this bibliography folder.

Eun Sang Cha, Kee-Eung Kim, Stefano Longo, and Ankur Mehta: OP-CAS: Collision Avoidance with Overtaking Maneuvers
In: IEEE Intelligent Transport Systems Conference (ITSC). 2018.

MinKu Kang and Kee-Eung Kim: Simulated Physics for High Speed Aerial Systems
In: International Conference on Control, Automation and Systems (ICCAS). 2018.

Wonseok Jeon, Seokin Seo, and Kee-Eung Kim: A Bayesian Approach to Generative Adversarial Imitation Learning
In: Proceedings of Neural Information Processing Systems (NIPS). 2018. Spotlight (top 3.5%)

Jongmin Lee, Geon-Hyeong Kim, Pascal Poupart, and Kee-Eung Kim: Monte-Carlo Tree Search for Constrained POMDPs
In: Proceedings of Neural Information Processing Systems (NIPS). 2018.

Jongmin Lee, Geon-Hyeong Kim, Pascal Poupart, and Kee-Eung Kim: Monte-Carlo Tree Search for Constrained MDPs
In: ICML/IJCAI/AAMAS Workshop on Planning and Learning (PAL). 2018.

Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, and Kee-Eung Kim: Cross-language Neural Dialog State Tracker for Large Ontologies using Hierarchical Attention
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2018.

Jang Won Bae, Junseok Lee, Do-Hyung Kim, Kanghoon Lee, Jongmin Lee, Kee-Eung Kim, and Il-Chul Moon: Layered Behavior Modeling via Combining Descriptive and Prescriptive Approaches: a Case Study of Infantry Company Engagement
IEEE Transactions on System, Man, and Cybernetics: Systems. 2018.

Kee-Eung Kim and Hyun Soo Park: Imitation Learning via Kernel Mean Embedding
In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2018.

Robert J. Durrant, Kee-Eung Kim, Geoffrey Holmes, Stephen Marsland, Masashi Sugiyama, and Zhi-Hua Zhou: Foreword: special issue for the journal track of the 8th Asian conference on machine learning
Machine Learning. 2017.

Jiyeon Ham, Soohyun Lim, and Kee-Eung Kim: Extended Hybrid Code Networks for DSTC6 FAIR Dialog Dataset
In: Dialog System Technology Challenges 6 Workshop. 2017.

Yung-Kyun Noh, Masashi Sugiyama, Kee-Eung Kim, Frank Park, and Daniel Lee: Generative Local Metric Learning for Kernel Regression
In: Proceedings of Neural Information Processing Systems (NIPS). 2017.

Jang Won Bae, Bowon Nam, Kee-Eung Kim, Junseok Lee, and Il-Chul Moon: Hybrid Modeling and Simulation of Tactical Maneuvers in Computer Generated Force
In: IEEE Conference on System, Man, and Cybernetics (SMC). 2017.

Jongmin Lee, Youngsoo Jang, Pascal Poupart, and Kee-Eung Kim: Constrained Bayesian Reinforcement Learning via Approximate Linear Programming
In: ECML-PKDD Workshop on Scaling-Up Reinforcement Learning (SURL). 2017.

이종민, 홍정표, 박재영, 이강훈, 김기응, 문일철, and 박재현: 대화력전 및 기계화 보병 시나리오를 통한 대규모 가상군의 POMDP 행동계획 및 학습 사례연구
정보과학회 컴퓨팅의 실제 논문지, 23(6):343-349. 2017.

Jongmin Lee, Youngsoo Jang, Pascal Poupart, and Kee-Eung Kim: Constrained Bayesian Reinforcement Learning via Approximate Linear Programming
In: Proceedings of International Joint Conference on Artificial Intelligence (IJCAI). 2017.

Byung-Jun Lee, Jongmin Lee, and Kee-Eung Kim: Hierarchically-partitioned Gaussian Process Approximation
In: Proceedings of Artificial Intelligence and Statistics (AISTATS). 2017.

Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Youngjae Chang, and Kee-Eung Kim: Neural Dialog State Tracker for Large Ontologies by Attention Mechanism
In: IEEE Workshop on Spoken Language Technology. 2016.

Daehyun Lee, Jongmin Lee, and Kee-Eung Kim: Multi-View Automatic Lip-Reading using Neural Network
In: ACCV 2016 Workshop on Multi-view Lip-reading Challenges. 2016.

홍정표, 이종민, 이강훈, 한상규, 김기응, 문일철, and 박재현: 대규모 가상군의 POMDP 행동계획 및 학습 사례연구
In: 한국정보과학회 하계학술발표회 논문집. 2016.

홍택규, 김건형, 이병준, and 김기응: Multi-armed Bandit을 이용한 요격 무장 할당 문제의 확률적인 접근
In: 한국정보과학회 하계학술발표회 논문집. 2016.

Teakgyu Hong, Jongmin Lee, Kee-Eung Kim, Pedro A. Ortega, and Daniel Lee: Bayesian Reinforcement Learning with Behavioral Feedback
In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pp. 1571-1577. 2016.

Byung-Jun Lee and Kee-Eung Kim: Dialog History Construction with Long-Short Term Memory for Robust Generative Dialog State Tracking
In: Dialogue & Discourse 7(3). 2016.

Yeganeh Mashayekh Hayeri, Kee-Eung Kim, and Daniel D. Lee: An Inverse Reinforcement Learning Approach to Car Following Behaviors
In: TRB 95th Annual Meeting Compendium of Papers, Transportation Research Board. 2016.

홍택규, 이병준, 김건형, and 김기응: 계층형 모델링을 통한 순차적 무장 할당 문제의 효과적인 접근
In: 한국정보과학회 동계학술발표회 논문집. 2015.

Pedro Ortega, Kee-Eung Kim, and Daniel Lee: Reactive bandits with attitude
In: Proceedings of Artificial Intelligence and Statistics (AISTATS). 2015.

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