Kee-Eung Kim

发表

Learning Finite-State Controllers for Partially Observable Environments

Kee-Eung Kim, Leslie Pack Kaelbling, Nicolas Meuleau, 1999, UAI.

Exploiting symmetries for single- and multi-agent Partially Observable Stochastic Domains

Kee-Eung Kim, Byung Kon Kang, Kee-Eung Kim, 2012, Artif. Intell..

Hand Grip Pattern Recognition for Mobile User Interfaces

Kee-Eung Kim, Hyunjeong Lee, Wook Chang, 2006, AAAI.

Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016)

Kee-Eung Kim, Zhi-Hua Zhou, Masashi Sugiyama, 2017, Machine Learning.

Foreword: special issue for the journal track of the 12th Asian conference on machine learning (ACML 2020)

Kee-Eung Kim, Vineeth N. Balasubramanian, 2020, Mach. Learn..

Generative Local Metric Learning for Kernel Regression

Kee-Eung Kim, Frank Chongwoo Park, Masashi Sugiyama, 2017, NIPS.

Inverse Reinforcement Learning in Partially Observable Environments

Kee-Eung Kim, Jaedeug Choi, Kee-Eung Kim, 2009, IJCAI.

Corrigendum to 'Extensions to Hybrid Code Networks for FAIR Dialog Data' Computer Speech & Language volume 53 (2019) Pages 80-91

Kee-Eung Kim, Jiyeon Ham, Soohyun Lim, 2021, Comput. Speech Lang..

Dialog History Construction with Long-Short Term Memory for Robust Generative Dialog State Tracking

Kee-Eung Kim, Byung-Jun Lee, Kee-Eung Kim, 2016, Dialogue Discourse.

A POMDP Framework for Dynamic Task Allocation and Reconnaissance of Multiple Unmanned Aerial Vehicles

Kee-Eung Kim, Dongho Kim, Jaedeug Choi, 2012 .

Information-Theoretic Bounded Rationality pdf

Kee-Eung Kim, Daniel A. Braun, Naftali Tishby, 2015, ArXiv.

A POMDP-Based Optimal Control of P300-Based Brain-Computer Interfaces

Kee-Eung Kim, Yoon-Kyu Song, Jaeyoung Park, 2011, AAAI.

Robust Performance Evaluation of POMDP-Based Dialogue Systems

Kee-Eung Kim, Dongho Kim, J H Kim, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Point-Based Bounded Policy Iteration for Decentralized POMDPs

Kee-Eung Kim, Youngwook Kim, Kee-Eung Kim, 2010, PRICAI.

Bayesian Nonparametric Feature Construction for Inverse Reinforcement Learning

Kee-Eung Kim, Jaedeug Choi, Kee-Eung Kim, 2013, IJCAI.

Interactivity Crafter: An Interactive Input-Output Transfer Function Design Tool for Interaction Designers

Kee-Eung Kim, Youn-kyung Lim, Seokyoung Song, 2015 .

Solving Factored MDPs with Large Action Space Using Algebraic Decision Diagrams

Kee-Eung Kim, Thomas L. Dean, T. Dean, 2002, PRICAI.

A POMDP Approach to Optimizing P300 Speller BCI Paradigm

Kee-Eung Kim, Jaeyoung Park, Kee-Eung Kim, 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Case Studies on Planning and Learning for Large-Scale CGFs with POMDPs through Counterfire and Mechanized Infantry Scenarios

Kee-Eung Kim, Jongmin Lee, Il-Chul Moon, 2017 .

Extensions to hybrid code networks for FAIR dialog dataset

Kee-Eung Kim, Jiyeon Ham, Soohyun Lim, 2019, Comput. Speech Lang..

Approximate Solutions to Factored Markov Decision Processes via Greedy Search in the Space of Finite State Controllers

Kee-Eung Kim, Thomas L. Dean, Nicolas Meuleau, 2000, AIPS.

Point-Based Value Iteration for Constrained POMDPs

Kee-Eung Kim, Pascal Poupart, Dongho Kim, 2011, IJCAI.

Hierarchically-partitioned Gaussian Process Approximation

Kee-Eung Kim, Jongmin Lee, Byung-Jun Lee, 2017, AISTATS.

Exploiting Symmetries in POMDPs for Point-Based Algorithms

Kee-Eung Kim, Kee-Eung Kim, 2008, AAAI.

Solving Stochastic Planning Problems with Large State and Action Spaces

Kee-Eung Kim, Robert Givan, Thomas L. Dean, 1998, AIPS.

An Improved Particle Filter With a Novel Hybrid Proposal Distribution for Quantitative Analysis of Gold Immunochromatographic Strips

Kee-Eung Kim, Zidong Wang, Xiaohui Liu, 2019, IEEE Transactions on Nanotechnology.

Reward Shaping for Model-Based Bayesian Reinforcement Learning

Kee-Eung Kim, Yung-Kyun Noh, Kanghoon Lee, 2015, AAAI.

Solving factored MDPs using non-homogeneous partitions

Kee-Eung Kim, Thomas L. Dean, T. Dean, 2003, Artif. Intell..

A Geometric Traversal Algorithm for Reward-Uncertain MDPs pdf

Kee-Eung Kim, Eunsoo Oh, Kee-Eung Kim, 2011, UAI.

Trust Region Sequential Variational Inference

Kee-Eung Kim, Wonseok Jeon, Jongmin Lee, 2019, ACML.

Learning to Cooperate via Policy Search pdf

Kee-Eung Kim, Leslie Pack Kaelbling, Nicolas Meuleau, 2000, UAI.

Hierarchical Bayesian Inverse Reinforcement Learning

Kee-Eung Kim, Jaedeug Choi, Kee-Eung Kim, 2015, IEEE Transactions on Cybernetics.

Place Recognition Using Multiple Wearable Cameras

Kee-Eung Kim, Jin Hyung Kim, Seonghun Lee, 2007, UCS.

An Inverse Reinforcement Learning Approach to Car Following Behaviors

Kee-Eung Kim, Daniel D. Lee, Yeganeh Mashayekh Hayeri, 2016 .

Reactive bandits with attitude

Kee-Eung Kim, Daniel D. Lee, Pedro A. Ortega, 2015, AISTATS.

Closing the Gap: Improved Bounds on Optimal POMDP Solutions

Kee-Eung Kim, Pascal Poupart, Dongho Kim, 2011, ICAPS.

Modeling Combat Entity with POMDP and DEVS

Kee-Eung Kim, Il-Chul Moon, Junseok Lee, 2013 .

Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes

Kee-Eung Kim, Pascal Poupart, Michael H. Bowling, 2015, AAAI.

Bayesian optimistic Kullback–Leibler exploration

Kee-Eung Kim, Kanghoon Lee, Daniel D. Lee, 2018, Machine Learning.

Constrained Bayesian Reinforcement Learning via Approximate Linear Programming

Kee-Eung Kim, Pascal Poupart, Jongmin Lee, 2017, IJCAI.

Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions

Kee-Eung Kim, Jaedeug Choi, Kee-Eung Kim, 2012, NIPS.

Reinforcement Learning for Control with Multiple Frequencies

Kee-Eung Kim, Byung-Jun Lee, Jongmin Lee, 2020, NeurIPS.

Monte-Carlo Tree Search for Constrained POMDPs

Kee-Eung Kim, Pascal Poupart, Jongmin Lee, 2018, NeurIPS.

A Bayesian Approach to Generative Adversarial Imitation Learning

Kee-Eung Kim, Wonseok Jeon, Seokin Seo, 2018, NeurIPS.

Effects of user modeling on POMDP-based dialogue systems

Hyeong Seop Sim, Kee-Eung Kim, Jin Hyung Kim, 2008, INTERSPEECH.

Optimizing Generative Dialog State Tracker via Cascading Gradient Descent

Kee-Eung Kim, Daejoong Kim, Byung-Jun Lee, 2014, SIGDIAL Conference.

Solving Factored MDPs via Non-Homogeneous Partitioning

Kee-Eung Kim, Thomas L. Dean, T. Dean, 2001, IJCAI.

Solving Very Large Weakly Coupled Markov Decision Processes

Kee-Eung Kim, Milos Hauskrecht, Craig Boutilier, 1998, AAAI/IAAI.

Solving POMDPs by Searching the Space of Finite Policies

Kee-Eung Kim, Leslie Pack Kaelbling, Nicolas Meuleau, 1999, UAI.

Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues

Kee-Eung Kim, Jongmin Lee, Youngsoo Jang, 2020, AAAI.

Neural dialog state tracker for large ontologies by attention mechanism

Kee-Eung Kim, Youngjae Chang, Jiyeon Ham, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).

OP-CAS: Collision Avoidance with Overtaking Maneuvers

Kee-Eung Kim, Ankur Mehta, Stefano Longo, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Cost-Sensitive Exploration in Bayesian Reinforcement Learning

Kee-Eung Kim, Pascal Poupart, Dongho Kim, 2012, NIPS.

Statistical Machine Learning for Large-Scale Optimization

Kee-Eung Kim, Thomas G. Dietterich, Russell Impagliazzo, 2000 .

Monte-Carlo Tree Search for Constrained MDPs

Kee-Eung Kim, Pascal Poupart, Jongmin Lee, 2018, IJCAI 2018.

Foreword: special issue for the journal track of the 11th Asian Conference on Machine Learning (ACML 2019)

Kee-Eung Kim, Jun Zhu, 2020, Machine Learning.

Multi-view Automatic Lip-Reading Using Neural Network

Kee-Eung Kim, Jongmin Lee, Daehyun Lee, 2016, ACCV Workshops.

Bayesian Reinforcement Learning with Behavioral Feedback

Kee-Eung Kim, Daniel D. Lee, Jongmin Lee, 2016, IJCAI.

Engineering Statistical Dialog State Trackers: A Case Study on DSTC

Kee-Eung Kim, Jinho Sohn, Daejoong Kim, 2013, SIGDIAL Conference.

Tighter Value Function Bounds for Bayesian Reinforcement Learning

Kee-Eung Kim, Kanghoon Lee, Kee-Eung Kim, 2015, AAAI.

MAP Inference for Bayesian Inverse Reinforcement Learning

Kee-Eung Kim, Jaedeug Choi, Kee-Eung Kim, 2011, NIPS.

Variable bandwidth allocation scheme for energy efficient wireless sensor network

Kee-Eung Kim, SeongHwan Cho, 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

A Machine Learning-Based Approach for the Prediction of Acute Coronary Syndrome Requiring Revascularization

Kee-Eung Kim, Yung-Kyun Noh, Ji Young Park, 2019, Journal of Medical Systems.

A POMDP approach to P300-based brain-computer interfaces

Kee-Eung Kim, Jaeyoung Park, Sungho Jo, 2010, IUI '10.

Variational Interaction Information Maximization for Cross-domain Disentanglement pdf

Kee-Eung Kim, Seunghoon Hong, HyeongJoo Hwang, 2020, NeurIPS.

Hybrid modeling and simulation of tactical maneuvers in computer generated force

Kee-Eung Kim, Il-Chul Moon, Junseok Lee, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Imitation Learning via Kernel Mean Embedding

Kee-Eung Kim, Hyun Soo Park, Kee-Eung Kim, 2018, AAAI.

Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI pdf

Kee-Eung Kim, Kangwook Lee, Youngjune Lee, 2021, ArXiv.

Dual Correction Strategy for Ranking Distillation in Top-N Recommender System

Kee-Eung Kim, Youngjune Lee, 2021, CIKM.