Kihyuk Hong

According to our database, Kihyuk Hong authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

Offline Constrained Reinforcement Learning under Partial Data Coverage.

Kihyuk Hong, Ambuj Tewari

CoRR, May, 2025

Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions.

Marc Brooks, Gabriel Durham, Kihyuk Hong, Ambuj Tewari

CoRR, May, 2025

A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs.

Kihyuk Hong, Ambuj Tewari

CoRR, April, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span.

Woojin Chae, Kihyuk Hong, Yufan Zhang, Ambuj Tewari, Dabeen Lee

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Provably Efficient Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs.

Kihyuk Hong, Yufan Zhang, Ambuj Tewari

CoRR, 2024

A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Low-Rank MDPs.

Kihyuk Hong, Ambuj Tewari

CoRR, 2024

A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs.

Kihyuk Hong, Ambuj Tewari

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning.

Kihyuk Hong, Yuhang Li, Ambuj Tewari

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge.

Kihyuk Hong, Yuhang Li, Ambuj Tewari

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023