Byung-Jun Lee

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 14

Top Topics

Sparse Approximation

Reinforcement Learning

Top Venues

Publications

Dong-Hee Shin, Young-Han Son, Jun-Mo Kim, Hee-Jun Ahn, Jun-Ho Seo, Chang-Hoon Ji, Ji-Wung Han, Byung-Jun Lee, Dong-Ok Won, Tae-Eui Kam
MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI. IEEE Trans. Syst. Man Cybern. Syst. 54 (5) (2024)
Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions. NeurIPS (2022)
Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions. CoRR (2022)
Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. CoRR (2021)
Deunsol Yoon, Sunghoon Hong, Byung-Jun Lee, Kee-Eung Kim
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic. ICLR (2021)
Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim
Representation Balancing Offline Model-based Reinforcement Learning. ICLR (2021)
Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. ICML (2021)
Jongmin Lee, Byung-Jun Lee, Kee-Eung Kim
Reinforcement Learning for Control with Multiple Frequencies. NeurIPS (2020)
Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim
Residual Neural Processes. AAAI (2020)
Byung-Jun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim, Kee-Eung Kim
Batch Reinforcement Learning with Hyperparameter Gradients. ICML (2020)
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Kee-Eung Kim
Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention. IEEE ACM Trans. Audio Speech Lang. Process. 26 (11) (2018)
Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim
Hierarchically-partitioned Gaussian Process Approximation. AISTATS (2017)
Byung-Jun Lee, Kee-Eung Kim
Dialog History Construction with Long-Short Term Memory for Robust Generative Dialog State Tracking. Dialogue Discourse 7 (3) (2016)
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Youngjae Chang, Kee-Eung Kim
Neural dialog state tracker for large ontologies by attention mechanism. SLT (2016)
Byung-Jun Lee, Woosang Lim, Daejoong Kim, Kee-Eung Kim
Optimizing Generative Dialog State Tracker via Cascading Gradient Descent. SIGDIAL Conference (2014)