Joongkyu Lee

13 papers A* 6Journal 7
YearRankTypeTitle / Venue / Authors
2025 A* conf
Combinatorial Reinforcement Learning with Preference Feedback.
ICML
Joongkyu Lee, Min-hwan Oh
2025 J jnl
Combinatorial Reinforcement Learning with Preference Feedback.
CoRR
Joongkyu Lee, Min-hwan Oh
2025 A* conf
Improved Online Confidence Bounds for Multinomial Logistic Bandits.
ICML
Joongkyu Lee, Min-hwan Oh
2025 J jnl
Improved Online Confidence Bounds for Multinomial Logistic Bandits.
CoRR
Joongkyu Lee, Min-hwan Oh
2025 J jnl
Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options.
CoRR
Joongkyu Lee, Seouh-won Yi, Min-hwan Oh
2024 A* conf
Demystifying Linear MDPs and Novel Dynamics Aggregation Framework.
ICLR
Joongkyu Lee, Min-hwan Oh
2024 J jnl
Demystifying Linear MDPs and Novel Dynamics Aggregation Framework.
CoRR
Joongkyu Lee, Min-hwan Oh
2024 A* conf
Learning Uncertainty-Aware Temporally-Extended Actions.
AAAI
Joongkyu Lee, Seung Joon Park, Yunhao Tang, Min-hwan Oh
2024 J jnl
Learning Uncertainty-Aware Temporally-Extended Actions.
CoRR
Joongkyu Lee, Seung Joon Park, Yunhao Tang, Min-hwan Oh
2024 A* conf
Nearly Minimax Optimal Regret for Multinomial Logistic Bandit.
NeurIPS
Joongkyu Lee, Min-hwan Oh
2024 J jnl
Nearly Minimax Optimal Regret for Multinomial Logistic Bandit.
CoRR
Joongkyu Lee, Min-hwan Oh
2024 A* conf
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation.
NeurIPS
Wooseong Cho, Taehyun Hwang, Joongkyu Lee, Min-hwan Oh
2024 J jnl
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation.
CoRR
Wooseong Cho, Taehyun Hwang, Joongkyu Lee, Min-hwan Oh