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Hyeong Soo Chang
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2020 – today
- 2024
- [j36]Hyeong Soo Chang:
On Supervised Online Rolling-Horizon Control for Infinite-Horizon Discounted Markov Decision Processes. IEEE Trans. Autom. Control. 69(2): 1060-1065 (2024) - 2021
- [j35]Hyeong Soo Chang:
An index-based deterministic convergent optimal algorithm for constrained multi-armed bandit problems. Autom. 129: 109673 (2021) - 2020
- [j34]Hyeong Soo Chang:
An asymptotically optimal strategy for constrained multi-armed bandit problems. Math. Methods Oper. Res. 91(3): 545-557 (2020) - [i2]Hyeong Soo Chang:
An Index-based Deterministic Asymptotically Optimal Algorithm for Constrained Multi-armed Bandit Problems. CoRR abs/2007.14550 (2020)
2010 – 2019
- 2018
- [i1]Hyeong Soo Chang:
An Asymptotically Optimal Strategy for Constrained Multi-armed Bandit Problems. CoRR abs/1805.01237 (2018) - 2017
- [j33]Hyeong Soo Chang:
Value set iteration for two-person zero-sum Markov games. Autom. 76: 61-64 (2017) - 2016
- [j32]Hyeong Soo Chang:
Sleeping experts and bandits approach to constrained Markov decision processes. Autom. 63: 182-186 (2016) - 2015
- [j31]Hyeong Soo Chang:
Random search for constrained Markov decision processes with multi-policy improvement. Autom. 58: 127-130 (2015) - 2014
- [j30]Hyeong Soo Chang:
An exact iterative search algorithm for constrained Markov decision processes. Autom. 50(5): 1531-1534 (2014) - [j29]Hyeong Soo Chang:
Value set iteration for Markov decision processes. Autom. 50(7): 1940-1943 (2014) - 2013
- [j28]Hyeong Soo Chang:
On functional equations for Kth best policies in Markov decision processes. Autom. 49(1): 297-300 (2013) - [j27]Hyeong Soo Chang:
Policy set iteration for Markov decision processes. Autom. 49(12): 3687-3689 (2013) - 2012
- [j26]Jiaqiao Hu, Hyeong Soo Chang:
Approximate stochastic annealing for online control of infinite horizon Markov decision processes. Autom. 48(9): 2182-2188 (2012) - [j25]Hyeong Soo Chang, Jiaqiao Hu:
On the Probability of Correct Selection in Ordinal Comparison over Dynamic Networks. J. Optim. Theory Appl. 155(2): 594-604 (2012) - [j24]Hyeong Soo Chang:
A policy iteration heuristic for constrained discounted controlled Markov Chains. Optim. Lett. 6(7): 1573-1577 (2012) - [j23]Jiaqiao Hu, Ping Hu, Hyeong Soo Chang:
A Stochastic Approximation Framework for a Class of Randomized Optimization Algorithms. IEEE Trans. Autom. Control. 57(1): 165-178 (2012) - 2011
- [j22]Jiaqiao Hu, Hyeong Soo Chang, Michael C. Fu, Steven I. Marcus:
Dynamic sample budget allocation in model-based optimization. J. Glob. Optim. 50(4): 575-596 (2011) - 2010
- [j21]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): 463-468 (2010) - [c20]Jiaqiao Hu, Hyeong Soo Chang:
An Approximate Stochastic Annealing algorithm for finite horizon Markov decision processes. CDC 2010: 5338-5343
2000 – 2009
- 2009
- [j20]Hyeong Soo Chang:
Decentralized Learning in Finite Markov Chains: Revisited. IEEE Trans. Autom. Control. 54(7): 1648-1653 (2009) - 2008
- [j19]Hyeong Soo Chang:
Finite-Step Approximation Error Bounds for Solving Average-Reward-Controlled Markov Set-Chains. IEEE Trans. Autom. Control. 53(1): 350-355 (2008) - [j18]Hyeong Soo Chang:
Converging Coevolutionary Algorithm for Two-Person Zero-Sum Discounted Markov Games With Perfect Information. IEEE Trans. Autom. Control. 53(2): 596-601 (2008) - [c19]Jiaqiao Hu, Hyeong Soo Chang:
A population-based cross-entropy method with dynamic sample allocation. CDC 2008: 2426-2431 - 2007
- [j17]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): 59-92 (2007) - [j16]Hyeong Soo Chang:
A policy improvement method for constrained average Markov decision processes. Oper. Res. Lett. 35(4): 434-438 (2007) - [j15]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): 89-94 (2007) - [j14]Hyeong Soo Chang, Edwin K. P. Chong:
Solving Controlled Markov Set-Chains With Discounting via Multipolicy Improvement. IEEE Trans. Autom. Control. 52(3): 564-569 (2007) - [j13]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): 1349-1355 (2007) - [c18]Hyeong Soo Chang, Michael C. Fu, Steven I. Marcus:
Adversarial multi-armed bandit approach to two-person zero-sum Markov games. CDC 2007: 127-132 - 2006
- [j12]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): 190-192 (2006) - [j11]Hyeong Soo Chang:
Converging Marriage in Honey-Bees Optimization and Application to Stochastic Dynamic Programming. J. Glob. Optim. 35(3): 423-441 (2006) - [j10]Hyeong Soo Chang:
Perfect information two-person zero-sum markov games with imprecise transition probabilities. Math. Methods Oper. Res. 64(2): 335-351 (2006) - [j9]Hyeong Soo Chang:
A Policy Improvement Method in Constrained Stochastic Dynamic Programming. IEEE Trans. Autom. Control. 51(9): 1523-1526 (2006) - [c17]Hyeong Soo Chang:
Reinforcement learning with supervision by combining multiple learnings and expert advices. ACC 2006: 1-6 - [c16]Hyeong Soo Chang, Michael C. Fu, Steven I. Marcus:
Adversarial Multi-Armed Bandit Approach to Stochastic Optimization. CDC 2006: 5681-5686 - 2005
- [j8]Hyeong Soo Chang, Michael C. Fu, Jiaqiao Hu, Steven I. Marcus:
An Adaptive Sampling Algorithm for Solving Markov Decision Processes. Oper. Res. 53(1): 126-139 (2005) - [j7]Hyeong Soo Chang:
Error bounds for finite step approximations for solving infinite horizon controlled Markov set-chains. IEEE Trans. Autom. Control. 50(9): 1413-1418 (2005) - [j6]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): 1804-1808 (2005) - [c15]Hyeong Soo Chang, Michael C. Fu, Steven I. Marcus:
Recursive Learning Automata for Control of Partially Observable Markov Decision Processes. CDC/ECC 2005: 6091-6096 - [c14]Hyeong Soo Chang, Edwin K. P. Chong:
On Solving Controlled Markov Set-Chains via Multi-Policy Improvement. CDC/ECC 2005: 8058-8063 - [c13]Se-young Lee, Hyeong Soo Chang:
An ant system based multicasting in mobile ad hoc network. Congress on Evolutionary Computation 2005: 1583-1588 - 2004
- [j5]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): 309-341 (2004) - [j4]Hyeong Soo Chang:
Multi-policy iteration with a distributed voting. Math. Methods Oper. Res. 60(2): 299-310 (2004) - [c12]Hyeong Soo Chang, Walter J. Gutjahr, Jihoon Yang, Sungyong Park:
An ant system approach to Markov decision processes. ACC 2004: 3820-3825 - [c11]Hyeong Soo Chang, Michael C. Fu:
Localization for a class of two-team zero-sum Markov games. CDC 2004: 4844-4849 - [c10]Hyeong Soo Chang:
An adaptation of particle swarm optimization for Markov decision processes. SMC (2) 2004: 1643-1648 - [c9]Hyeong Soo Chang:
An ant system based exploration-exploitation for reinforcement learning. SMC (4) 2004: 3805-3810 - 2003
- [j3]Hyeong Soo Chang, Pedram Jaefari Fard, Steven I. Marcus, Mark A. Shayman:
Multitime scale Markov decision processes. IEEE Trans. Autom. Control. 48(6): 976-987 (2003) - [j2]Hyeong Soo Chang, Steven I. Marcus:
Two-person zero-sum Markov games: receding horizon approach. IEEE Trans. Autom. Control. 48(11): 1951-1961 (2003) - [c8]Hyeong Soo Chang, Michael C. Fu, Steven I. Marcus:
An asymptotically efficient algorithm for finite horizon stochastic dynamic programming problems. CDC 2003: 3818-3823 - [c7]Hyeong Soo Chang, Michael C. Fu:
A distributed algorithm for solving a class of multi-agent Markov decision problems. CDC 2003: 5341-5346 - [c6]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: 3108-3112 - [c5]Seon Wook Kim, Hyeong Soo Chang:
Parallelizing Parallel Rollout Algorithm for Solving Markov Decision Processes. WOMPAT 2003: 122-136 - 2002
- [j1]Robert Givan, Edwin K. P. Chong, Hyeong Soo Chang:
Scheduling Multiclass Packet Streams to Minimize Weighted Loss. Queueing Syst. Theory Appl. 41(3): 241-270 (2002) - [c4]Hyeong Soo Chang, Steven I. Marcus:
Receding horizon approach to Markov games for infinite horizon discounted cost. CDC 2002: 1380-1385 - [c3]Hyeong Soo Chang, Pedram Jaefari Fard, Steven I. Marcus, Mark A. Shayman:
A model for multi-time scaled sequential decision making processes. CDC 2002: 3813-3818 - 2000
- [c2]Hyeong Soo Chang, Robert Givan, Edwin K. P. Chong:
On-line Scheduling via Sampling. AIPS 2000: 62-71 - [c1]Edwin K. P. Chong, Robert Givan, Hyeong Soo Chang:
A framework for simulation-based network control via hindsight optimization. CDC 2000: 1433-1438
Coauthor Index
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last updated on 2024-04-25 05:48 CEST by the dblp team
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