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by admin last modified Jun 19, 2011 11:19 PM

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

There are 71 references in this bibliography folder.

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.

Jaedeug Choi and Kee-Eung Kim: Hierarchical Bayesian Inverse Reinforcement Learning
IEEE Transactions on Cybernetics, 45(4). 2015.

Pascal Poupart, Aarti Malhotra, Pei Pei, Kee-Eung Kim, Bongseok Goh, and Michael Bowling: Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes
In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2015.

Hyeoneun Kim, Woosang Lim, Kanghoon Lee, Yung-Kyun Noh, and Kee-Eung Kim: Reward Shaping for Model-Based Bayesian Reinforcement Learning
In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2015.

Kanghoon Lee and Kee-Eung Kim: Tighter Value Function Bounds for Bayesian Reinforcement Learning
In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2015.

Byung-Jun Lee, Woosang Lim, and Kee-Eung Kim: Optimizing Generative Dialog State Tracker via Cascading Gradient Descent
In: Proceedings of the SIGDIAL 2014 Conference, pp. 273–281. 2014.

Hyeoneun Kim, Bongseok Goh, Bowon Nam, Kanghoon Lee, Jeong Hee Hong, Il Chul Moon, and Kee-Eung Kim: Multi-Level Hybrid Behavior Model of Computer Generated Forces
In: Proceedings of the AAMAS Workshop on Agents, Virtual Societies and Analytics. 2014.

홍택규, 고봉석, and 김기응: 키-시퀀스 예측을 통한 가변형 소프트 키보드 - 안드로이드 플랫폼 적용 사례 연구
In: 한국컴퓨터종합학술대회 논문집, pp. 1767-1769. 2014.

배장원, 이강훈, 김현은, 이준석, 고봉석, 남보원, 문일철, 김기응, and 박재현: POMDP-DEVS를 활용한 전투 개체 모델링
대한산업공학회지, 39(6):498-516. 2013.

임희진, 최재득, 석재현, and 김기응: 추천시스템을 위한 베이지안 협력-경쟁 필터링
In: 한국컴퓨터종합학술대회 논문집, pp. 1496-1498. 2013.

Daejoong Kim, Jaedeug Choi, Kee-Eung Kim, Jungsu Lee, and Jinho Sohn: Engineering Statistical Dialog State Trackers: A Case Study on DSTC
Department of Computer Science, KAIST, Technical Report(CS-TR-2013-379). 2013.

Daejoong Kim, Jaedeug Choi, Kee-Eung Kim, Jungsu Lee, and Jinho Sohn: Engineering Statistical Dialog State Trackers: A Case Study on DSTC
In: Proceedings of the SIGDIAL 2013 Conference, pp. 462-466. 2013.

Jaedeug Choi and Kee-Eung Kim: Bayesian Nonparametric Feature Construction for Inverse Reinforcement Learning
In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). 2013.

Jaedeug Choi and Kee-Eung Kim: Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions
In: Proceedings of Neural Information Processing Systems (NIPS). 2012.

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