Hyeong Soo Chang

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 7

Top Topics

Transition Matrices

Asymptotically Optimal

Markov Decision Process

Top Venues

Math. Methods Oper. Res.

IEEE Trans. Autom. Control.

Publications

Hyeong Soo Chang
On Supervised Online Rolling-Horizon Control for Infinite-Horizon Discounted Markov Decision Processes. IEEE Trans. Autom. Control. 69 (2) (2024)
Hyeong Soo Chang
An index-based deterministic convergent optimal algorithm for constrained multi-armed bandit problems. Autom. 129 (2021)
Hyeong Soo Chang
An Index-based Deterministic Asymptotically Optimal Algorithm for Constrained Multi-armed Bandit Problems. CoRR (2020)
Hyeong Soo Chang
An asymptotically optimal strategy for constrained multi-armed bandit problems. Math. Methods Oper. Res. 91 (3) (2020)
Hyeong Soo Chang
An Asymptotically Optimal Strategy for Constrained Multi-armed Bandit Problems. CoRR (2018)
Hyeong Soo Chang
Value set iteration for two-person zero-sum Markov games. Autom. 76 (2017)
Hyeong Soo Chang
Sleeping experts and bandits approach to constrained Markov decision processes. Autom. 63 (2016)
Hyeong Soo Chang
Random search for constrained Markov decision processes with multi-policy improvement. Autom. 58 (2015)
Hyeong Soo Chang
An exact iterative search algorithm for constrained Markov decision processes. Autom. 50 (5) (2014)
Hyeong Soo Chang
Value set iteration for Markov decision processes. Autom. 50 (7) (2014)
Hyeong Soo Chang
Policy set iteration for Markov decision processes. Autom. 49 (12) (2013)
Hyeong Soo Chang
On functional equations for Kth best policies in Markov decision processes. Autom. 49 (1) (2013)
Hyeong Soo Chang, Jiaqiao Hu
On the Probability of Correct Selection in Ordinal Comparison over Dynamic Networks. J. Optim. Theory Appl. 155 (2) (2012)
Jiaqiao Hu, Ping Hu, Hyeong Soo Chang
A Stochastic Approximation Framework for a Class of Randomized Optimization Algorithms. IEEE Trans. Autom. Control. 57 (1) (2012)
Hyeong Soo Chang
A policy iteration heuristic for constrained discounted controlled Markov Chains. Optim. Lett. 6 (7) (2012)
Jiaqiao Hu, Hyeong Soo Chang
Approximate stochastic annealing for online control of infinite horizon Markov decision processes. Autom. 48 (9) (2012)
Jiaqiao Hu, Hyeong Soo Chang, Michael C. Fu, Steven I. Marcus
Dynamic sample budget allocation in model-based optimization. J. Glob. Optim. 50 (4) (2011)
Jiaqiao Hu, Hyeong Soo Chang
An Approximate Stochastic Annealing algorithm for finite horizon Markov decision processes. CDC (2010)
Hyeong Soo Chang, Jiaqiao Hu, Michael C. Fu, Steven I. Marcus
Adaptive Adversarial Multi-Armed Bandit Approach to Two-Person Zero-Sum Markov Games. IEEE Trans. Autom. Control. 55 (2) (2010)
Hyeong Soo Chang
Decentralized Learning in Finite Markov Chains: Revisited. IEEE Trans. Autom. Control. 54 (7) (2009)
Hyeong Soo Chang
Finite-Step Approximation Error Bounds for Solving Average-Reward-Controlled Markov Set-Chains. IEEE Trans. Autom. Control. 53 (1) (2008)
Jiaqiao Hu, Hyeong Soo Chang
A population-based cross-entropy method with dynamic sample allocation. CDC (2008)
Hyeong Soo Chang
Converging Coevolutionary Algorithm for Two-Person Zero-Sum Discounted Markov Games With Perfect Information. IEEE Trans. Autom. Control. 53 (2) (2008)
Hyeong Soo Chang, Michael C. Fu, Jiaqiao Hu, Steven I. Marcus
A survey of some simulation-based algorithms for Markov decision processes. Commun. Inf. Syst. 7 (1) (2007)
Hyeong Soo Chang, Michael C. Fu, Jiaqiao Hu, Steven I. Marcus
An Asymptotically Efficient Simulation-Based Algorithm for Finite Horizon Stochastic Dynamic Programming. IEEE Trans. Autom. Control. 52 (1) (2007)
Hyeong Soo Chang
A policy improvement method for constrained average Markov decision processes. Oper. Res. Lett. 35 (4) (2007)
Hyeong Soo Chang, Edwin K. P. Chong
Solving Controlled Markov Set-Chains With Discounting via Multipolicy Improvement. IEEE Trans. Autom. Control. 52 (3) (2007)
Hyeong Soo Chang, Michael C. Fu, Jiaqiao Hu, Steven I. Marcus
Recursive Learning Automata Approach to Markov Decision Processes. IEEE Trans. Autom. Control. 52 (7) (2007)
Hyeong Soo Chang, Michael C. Fu, Steven I. Marcus
Adversarial multi-armed bandit approach to two-person zero-sum Markov games. CDC (2007)
Hyeong Soo Chang
Advances in Dynamic Games, Applications to Economics, Finance, Optimization, and Stochastic Control: A.S. Nowak, K. Szajowski (Eds.); Birkhauser, Boston, 2005, ISBN 0-8176-4362-1. Autom. 42 (1) (2006)
Hyeong Soo Chang
Reinforcement learning with supervision by combining multiple learnings and expert advices. ACC (2006)
Hyeong Soo Chang
A Policy Improvement Method in Constrained Stochastic Dynamic Programming. IEEE Trans. Autom. Control. 51 (9) (2006)
Hyeong Soo Chang, Michael C. Fu, Steven I. Marcus
Adversarial Multi-Armed Bandit Approach to Stochastic Optimization. CDC (2006)
Hyeong Soo Chang
Perfect information two-person zero-sum markov games with imprecise transition probabilities. Math. Methods Oper. Res. 64 (2) (2006)
Hyeong Soo Chang
Converging Marriage in Honey-Bees Optimization and Application to Stochastic Dynamic Programming. J. Glob. Optim. 35 (3) (2006)
Hyeong Soo Chang, Michael C. Fu, Steven I. Marcus
Recursive Learning Automata for Control of Partially Observable Markov Decision Processes. CDC/ECC (2005)
Hyeong Soo Chang, Michael C. Fu, Jiaqiao Hu, Steven I. Marcus
An Adaptive Sampling Algorithm for Solving Markov Decision Processes. Oper. Res. 53 (1) (2005)
Hyeong Soo Chang
Error bounds for finite step approximations for solving infinite horizon controlled Markov set-chains. IEEE Trans. Autom. Control. 50 (9) (2005)
Hyeong Soo Chang, Hong-Gi Lee, Michael C. Fu, Steven I. Marcus
Evolutionary policy iteration for solving Markov decision processes. IEEE Trans. Autom. Control. 50 (11) (2005)
Hyeong Soo Chang, Edwin K. P. Chong
On Solving Controlled Markov Set-Chains via Multi-Policy Improvement. CDC/ECC (2005)
Se-young Lee, Hyeong Soo Chang
An ant system based multicasting in mobile ad hoc network. Congress on Evolutionary Computation (2005)
Hyeong Soo Chang, Robert Givan, Edwin K. P. Chong
Parallel Rollout for Online Solution of Partially Observable Markov Decision Processes. Discret. Event Dyn. Syst. 14 (3) (2004)
Hyeong Soo Chang
An adaptation of particle swarm optimization for Markov decision processes. SMC (2) (2004)
Hyeong Soo Chang
Multi-policy iteration with a distributed voting. Math. Methods Oper. Res. 60 (2) (2004)
Hyeong Soo Chang, Michael C. Fu
Localization for a class of two-team zero-sum Markov games. CDC (2004)
Hyeong Soo Chang
An ant system based exploration-exploitation for reinforcement learning. SMC (4) (2004)
Hyeong Soo Chang, Walter J. Gutjahr, Jihoon Yang, Sungyong Park
An ant system approach to Markov decision processes. ACC (2004)
Hyeong Soo Chang, Michael C. Fu, Steven I. Marcus
An asymptotically efficient algorithm for finite horizon stochastic dynamic programming problems. CDC (2003)
Seon Wook Kim, Hyeong Soo Chang
Parallelizing Parallel Rollout Algorithm for Solving Markov Decision Processes. WOMPAT (2003)
Hyeong Soo Chang, Pedram Jaefari Fard, Steven I. Marcus, Mark A. Shayman
Multitime scale Markov decision processes. IEEE Trans. Autom. Control. 48 (6) (2003)
Hyeong Soo Chang, Steven I. Marcus
Two-person zero-sum Markov games: receding horizon approach. IEEE Trans. Autom. Control. 48 (11) (2003)
Hyeong Soo Chang, Michael C. Fu
A distributed algorithm for solving a class of multi-agent Markov decision problems. CDC (2003)
Kuo-Tung Kuo, Surapich Phuvoravan, Bobby Bhattacharjee, Richard J. La, Mark A. Shayman, Hyeong Soo Chang
On the use of flow migration for handling short-term overloads. GLOBECOM (2003)
Hyeong Soo Chang, Pedram Jaefari Fard, Steven I. Marcus, Mark A. Shayman
A model for multi-time scaled sequential decision making processes. CDC (2002)
Robert Givan, Edwin K. P. Chong, Hyeong Soo Chang
Scheduling Multiclass Packet Streams to Minimize Weighted Loss. Queueing Syst. Theory Appl. 41 (3) (2002)
Hyeong Soo Chang, Steven I. Marcus
Receding horizon approach to Markov games for infinite horizon discounted cost. CDC (2002)
Hyeong Soo Chang, Robert Givan, Edwin K. P. Chong
On-line Scheduling via Sampling. AIPS (2000)
Edwin K. P. Chong, Robert Givan, Hyeong Soo Chang
A framework for simulation-based network control via hindsight optimization. CDC (2000)