Hong, Kihyuk

7 publications

ICML 2025 A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs Kihyuk Hong, Ambuj Tewari

NeurIPS 2025 Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions Marc Brooks, Gabriel Durham, Kihyuk Hong, Ambuj Tewari

AISTATS 2025 Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span Woojin Chae, Kihyuk Hong, Yufan Zhang, Ambuj Tewari, Dabeen Lee

AISTATS 2025 Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs Kihyuk Hong, Woojin Chae, Yufan Zhang, Dabeen Lee, Ambuj Tewari

ICML 2024 A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs Kihyuk Hong, Ambuj Tewari

AISTATS 2024 A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning Kihyuk Hong, Yuhang Li, Ambuj Tewari

AISTATS 2023 An Optimization-Based Algorithm for Non-Stationary Kernel Bandits Without Prior Knowledge Kihyuk Hong, Yuhang Li, Ambuj Tewari