Byung-Jun Lee

According to our database, Byung-Jun Lee authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI.

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

IEEE Trans. Syst. Man Cybern. Syst., May, 2024

Offline Imitation Learning by Controlling the Effective Planning Horizon.

Hee-Jun Ahn, Seong-Woong Shim, Byung-Jun Lee

CoRR, 2024

2022

Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions.

Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation.

Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim

Proceedings of the 38th International Conference on Machine Learning, 2021

Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic.

Deunsol Yoon, Sunghoon Hong, Byung-Jun Lee, Kee-Eung Kim

Proceedings of the 9th International Conference on Learning Representations, 2021

Representation Balancing Offline Model-based Reinforcement Learning.

Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Reinforcement Learning for Control with Multiple Frequencies.

Jongmin Lee, Byung-Jun Lee, Kee-Eung Kim

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Batch Reinforcement Learning with Hyperparameter Gradients.

Byung-Jun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim, Kee-Eung Kim

Proceedings of the 37th International Conference on Machine Learning, 2020

Residual Neural Processes.

Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention.

Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Kee-Eung Kim

IEEE ACM Trans. Audio Speech Lang. Process., 2018

2017

Hierarchically-partitioned Gaussian Process Approximation.

Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

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

Byung-Jun Lee, Kee-Eung Kim

Dialogue Discourse, 2016

Neural dialog state tracker for large ontologies by attention mechanism.

Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Youngjae Chang, Kee-Eung Kim

Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

2014

Optimizing Generative Dialog State Tracker via Cascading Gradient Descent.

Byung-Jun Lee, Woosang Lim, Daejoong Kim, Kee-Eung Kim

Proceedings of the SIGDIAL 2014 Conference, 2014