Artificial Intelligence & Probabilistic Reasoning Lab
한국과학기술원 본교(제1캠퍼스) 김재철AI대학원
김기응 교수
Reinforcement Learning
Multi-Agent Systems
Bayesian Learning
발행물
전체 논문
130
71
Dialog History Construction with Long-Short Term Memory for Robust Generative Dialog State Tracking
Byung-Jun Lee, Kee-Eung Kim
Dialogue & Discourse, 2016
72
An Inverse Reinforcement Learning Approach to Car Following Behaviors
Yeganeh Mashayekh Hayeri, Kee-Eung Kim, Daniel D. Lee
TRB 95th Annual Meeting Compendium of Papers, Transportation Research Board, 2016
73
계층형 모델링을 통한 순차적 무장 할당 문제의 효과적인 접근
홍택규, 이병준, 김건형, 김기응
한국정보과학회 동계학술발표회 논문집, 2015
74
Reactive bandits with attitude
Pedro Ortega, Kee-Eung Kim, Daniel Lee
Proceedings of Artificial Intelligence and Statistics (AISTATS), 2015
75
Hierarchical Bayesian Inverse Reinforcement Learning
Jaedeug Choi, Kee-Eung Kim
IEEE Transactions on Cybernetics, 2015
76
Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes
Pascal Poupart, Aarti Malhotra, Pei Pei, Kee-Eung Kim, Bongseok Goh, Michael Bowling
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2015
77
Reward Shaping for Model-Based Bayesian Reinforcement Learning
Hyeoneun Kim, Woosang Lim, Kanghoon Lee, Yung-Kyun Noh, Kee-Eung Kim
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2015
78
Tighter Value Function Bounds for Bayesian Reinforcement Learning
Kanghoon Lee, Kee-Eung Kim
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2015
79
Optimizing Generative Dialog State Tracker via Cascading Gradient Descent
Byung-Jun Lee, Woosang Lim, Kee-Eung Kim
SIGDIAL, 2014
80
Multi-Level Hybrid Behavior Model of Computer Generated Forces
Hyeoneun Kim, Bongseok Goh, Bowon Nam, Kanghoon Lee, Jeong Hee Hong, Il Chul Moon, Kee-Eung Kim
AAMAS Workshop on Agents, Virtual Societies and Analytics, 2014