Hyeong Soo Chang

Sogang University — South Korea

Computer Science · Physical Sciences

17h-index1.2kcitations103works0.02yr avg
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Research Topics

Reinforcement Learning in Robotics(48), Advanced Bandit Algorithms Research(30), Optimization and Search Problems(25), Simulation Techniques and Applications(20), Machine Learning and Algorithms(15)

Publications103 total

On the Convergence Rate of MCTS for the Optimal Value Estimation in Markov Decision Processes
IEEE Transactions on Automatic Control·2025
Approximate Constrained Discounted Dynamic Programming With Uniform Feasibility and Optimality
IEEE Transactions on Automatic Control·2024
On the Convergence Rate of MCTS for the Optimal Value Estimation in Markov Decision Processes
arXiv (Cornell University)·2024Open Access
Top Feasible-Arm Subset Identification in Constrained Multi-Armed Bandit with Limited Budget
arXiv (Cornell University)·2024Open Access
Approximate Constrained Discounted Dynamic Programming with Uniform Feasibility and Optimality
arXiv (Cornell University)·2023Open Access
On Supervised Online Rolling-Horizon Control for Infinite-Horizon Discounted Markov Decision Processes
IEEE Transactions on Automatic Control·2023· 3 cited
On Supervised On-line Rolling-Horizon Control for Infinite-Horizon Discounted Markov Decision Processes
arXiv (Cornell University)·2022Open Access
On-line Policy Iteration with Policy Switching for Markov Decision Processes
arXiv (Cornell University)·2021Open Access
An index-based deterministic convergent optimal algorithm for constrained multi-armed bandit problems
Automatica·2021
An Index-based Deterministic Asymptotically Optimal Algorithm for Constrained Multi-armed Bandit Problems
arXiv (Cornell University)·2020Open Access
An Index-based Deterministic Asymptotically Optimal Algorithm for\n Constrained Multi-armed Bandit Problems
arXiv (Cornell University)·2020Open Access
An asymptotically optimal strategy for constrained multi-armed bandit problems
Mathematical Methods of Operations Research·2020Open Access
Hyeong Soo Chang
Authors group·2019
An Asymptotically Optimal Strategy for Constrained Multi-armed Bandit\n Problems
arXiv (Cornell University)·2018Open Access
Combining Multiple Strategies for Sleeping Bandits with Stochastic Rewards and Availability
Journal of KIISE·2017
Value set iteration for two-person zero-sum Markov games
Automatica·2016· 1 cited
Sleeping experts and bandits approach to constrained Markov decision processes
Automatica·2015
Random search for constrained Markov decision processes with multi-policy improvement
Automatica·2015· 3 cited
Combining Multiple Strategies for Multiarmed Bandit Problems and Asymptotic Optimality
Journal of Control Science and Engineering·2015Open Access
Sleeping Experts and Bandits Approach to Constrained Markov Decision\n Processes
arXiv (Cornell University)·2014Open Access
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Frequent Co-authors

Steven I. Marcus(18), Michael C. Fu(14), Jiaqiao Hu(12), Robert Givan(5), Edwin K. P. Chong(5), P.J. Fard(2), Mark A. Shayman(2), Jiaqiao Hu(2), Hong-Gi Lee(1), Ping Hu(1), Walter J. Gutjahr(1), Jihoon Yang(1), Sungyong Park(1), Min Fu(1), Se-young Lee(1), Seon Wook Kim(1)