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by admin last modified Jan 31, 2019 10:47 AM

There are 86 references in this bibliography folder.

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.

Dongho Kim, Kee-Eung Kim, and Pascal Poupart: Cost-Sensitive Exploration in Bayesian Reinforcement Learning
In: Proceedings of Neural Information Processing Systems (NIPS). 2012.

Jaeyoung Park and Kee-Eung Kim: A POMDP Approach to Optimizing P300 Speller BCI Paradigm
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 20(4). 2012.

이강훈, 임희진, and 김기응: Factored POMDP를 이용한 가상군의 자율행위 모델링 사례연구
In: 한국컴퓨터종합학술대회 논문집, vol. 39(1B). 2012.

Byung Kon Kang and Kee-Eung Kim: Exploiting Symmetries for Single and Multi-Agent Partially Observable Stochastic Domains
Artificial Intelligence, 182-183:32-57. 2012.

김동호, 이재송, 최재득, and 김기응: 복수 무인기를 위한 POMDP 기반 동적 임무 할당 및 정찰 임무 최적화 기법
정보과학회 논문지: 소프트웨어 및 응용, 39(6). 2012.

Jaedeug Choi and Kee-Eung Kim: MAP Inference for Bayesian Inverse Reinforcement Learning
In: Proceedings of Neural Information Processing Systems (NIPS). 2011.

Jaeyoung Park, Kee-Eung Kim, and Yoon-Kyu Song: A POMDP-based Optimal Control of P300-based Brain-Computer Interfaces
In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) NECTAR Track. 2011.

Dongho Kim, Jaesong Lee, Kee-Eung Kim, and Pascal Poupart: Point-Based Value Iteration for Constrained POMDPs
In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). 2011.

Dongho Kim, Jaesong Lee, Kee-Eung Kim, and Pascal Poupart: Point-Based Value Iteration for Constrained POMDPs
In: Proceedings of the IJCAI Workshop on Decision Making in Partially Observable, Uncertain Worlds: Exploring Insights from Multiple Communities. 2011.

Eunsoo Oh and Kee-Eung Kim: A Geometric Traversal Algorithm for Reward-Uncertain MDPs
In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI). 2011.

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