Papers
This folder holds the following references to publications, sorted by year and author.
There are 83 references in this bibliography folder.
Wonseok Jeon, Seokin Seo, and Kee-Eung Kim:
A Bayesian Approach to Generative Adversarial Imitation Learning
In: Proceedings of Neural Information Processing Systems (NeurIPS).
2018.
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.
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 (NeurIPS).
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.
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.
Jaedeug Choi and Kee-Eung Kim:
Hierarchical Bayesian Inverse Reinforcement Learning
IEEE Transactions on Cybernetics, 45(4).
2015.
