Joongkyu Lee

According to our database, Joongkyu Lee authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

Optimal Design for Multinomial Logit Model with Applications to Best Assortment Identification.

Joongkyu Lee, Min-hwan Oh

CoRR, May, 2026

Nonstationary Generalized Linear Bandits with Discounted Online Mirror Descent.

Joongkyu Lee, Min-hwan Oh

CoRR, May, 2026

Multi-Step Likelihood-Ratio Correction for Reinforcement Learning with Verifiable Rewards.

Deokgyu Yoon, Hyungkyu Kang, Joongkyu Lee, Byeongchan Kim, Gyungin Shin, Sungrae Park, Min-hwan Oh

CoRR, May, 2026

Block-Sphere Vector Quantization.

Heesang Ann, Joongkyu Lee, Min-hwan Oh

CoRR, May, 2026

2025

Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options.

Joongkyu Lee, Seouh-won Yi, Min-hwan Oh

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

True Impact of Cascade Length in Contextual Cascading Bandits.

Hyun-jun Choi, Joongkyu Lee, Min-hwan Oh

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Combinatorial Reinforcement Learning with Preference Feedback.

Joongkyu Lee, Min-hwan Oh

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Improved Online Confidence Bounds for Multinomial Logistic Bandits.

Joongkyu Lee, Min-hwan Oh

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Nearly Minimax Optimal Regret for Multinomial Logistic Bandit.

Joongkyu Lee, Min-hwan Oh

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation.

Wooseong Cho, Taehyun Hwang, Joongkyu Lee, Min-hwan Oh

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Demystifying Linear MDPs and Novel Dynamics Aggregation Framework.

Joongkyu Lee, Min-hwan Oh

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Uncertainty-Aware Temporally-Extended Actions.

Joongkyu Lee, Seung Joon Park, Yunhao Tang, Min-hwan Oh

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024