**H. S. Chang**, R. L. Givan, and E. K. P. Chong, On-line Scheduling via Sampling,

in*Proc. of the 5th Int. Conf. on Artificial Intelligence Planning and Scheduling*, 2000, pp. 62-71.- E. K. P. Chong, R. L. Givan, and
**H. S. Chang**, A Framework for Simulation-based Network Control via Hindsight Optimization,

in*Proc. of the 39th IEEE Conf. on Decision and Control*, Vol. 2, 2000, pp. 1433-1438. **H. S. Chang**, P. Fard, S. I. Marcus, and M. Shayman, A Model for Multi-time Scaled Sequential Decision Making Processes,

in*Proc. of the 41st IEEE Conf. on Decision and Control*, Vol. 4, 2002, pp. 3813-3818.**H. S. Chang**and S. I. Marcus, Receding Horizon Approach to Markov Games for Infinite Horizon Discounted Cost,

in*Proc. of the 41st IEEE Conf. on Decision and Control*, Vol. 2, 2002, pp. 1380-1385.- K. Kuo, S. Phuvoravan, R. La, S. Bhattacharjee, M. Shayman, and
**H. S. Chang**, On the use of flow migration for handling short-term overloads,

in*Proc. of the IEEE Globecom*, Vol. 6, 2003, pp. 3108-3112. **H. S. Chang**and M. Fu, A Distributed Algorithm for Solving a Class of Multi-agent Markov Decision Problems,

in*Proc. of the 42nd IEEE Conf. on Decision and Control*, Vol. 5, 2003, pp. 5341-5346.**H. S. Chang**, M. Fu, and S. I. Marcus, An Asymptotically Efficient Algorithm for Solving Finite Horizon Stochastic Dynamic Programming Problems,

in*Proc. of the 42nd IEEE Conf. on Decision and Control,*Vol. 4, 2003, pp. 3818-3823.- S. W. Kim and
**H. S. Chang**, Parallelizing parallel rollout algorithm for solving Markov decision processes,*Lecture Notes in Computer Science*, Springer-Verlag, Vol. 2176, pp. 122-136, 2003. **H. S. Chang**, W. J. Gutjahr, J. Yang, and S. Park, An Ant System Approach to Markov Decision Processes,

in*Proc. of the 23rd American Control Conference,*Vol. 4, 2004, pp. 3820-3825.

**H. S. Chang**, On the Use of Blackwell's Approachability Theorem for Stochastic Dynamic Programming,

in*Proc. of the IFAC Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP 04),*2004, pp. 765-770.

**H. S. Chang**, An Ant System Based Exploration-Exploitation for Reinforcement Learning,

in*Proc. of the IEEE Conf. on Systems, Man, and Cybernetics*, Vol. 4, 2004, pp. 3805-3810.**H. S. Chang**, An Adaptation of Particle Swarm Optimization for Markov Decision Processes,

in*Proc. of the IEEE Conf. on Systems, Man, and Cybernetics*, Vol. 2, 2004, pp. 1643-1648.**H. S. Chang**and M. Fu, Localization for a Class of Two-Team Zero-Sum Markov Games,

in*Proc. of the 43rd IEEE Conf. on Decision and Control*, Vol. 5, 2004, pp. 4844-4849.- S-Y. Lee and
**H. S. Chang**, An Ant System Based Multicasting in Mobile Ad Hoc Network,

in*Proc. of the IEEE Congress on Evolutionary Computation*, Vol. 2, 2005, pp. 1583-1588. **H. S. Chang**, M. Fu, and S. I. Marcus, Recursive Learning Automata for Control of Partially Observable Markov Decision Processes,

in*Proc. of the Joint 44th IEEE Conf. on Decision and Control and European Control Conf.*, 2005, pp. 6091-6096.**H. S. Chang**and E. K. P. Chong, On Solving Controlled Markov Set-Chains via Multi-Policy Improvement,

in*Proc. of the Joint 44th IEEE Conf. on Decision and Control and European Control Conf.*, 2005, pp. 8058-8063.- S-Y. Lee and
**H. S. Chang**, Durable Distance Vector Multicasting Protocol for Mobile Ad Hoc Networks,

in*Proc. of the IEEE Conf. on Networking, Sensing, and Control*, 2006, pp. 6-11. **H. S. Chang**, Reinforcement Learning with Supervision by Combining Multiple Learnings and Expert Advices,

in*Proc. of the 25th American Control Conference,*2006, pp. 4159-4164.**H. S. Chang**, On Policy Iteration for Finite Horizon Markov Decision Processes with Target-Level Risk Sensitive Objectives,

in*Proc. of the 17th Int. Symposium on Mathematical Theory of Networks and Systems,*2006, pp. 1256-1258.**H. S. Chang**, On Combining Multiple Heuristic Policies in Minimax Control,

in*Proc. of the 17th Int. Symposium on Mathematical Theory of Networks and Systems,*2006, pp. 2738-2741.- D. Kim, S. Park, Y. Jin,
**H. S. Chang**, Y. Park, I. Ko, K. Lee, J. Lee, Y. Park, and S. Lee, SHAGE: A Framework for Self-Managed Robot Software,

in*Proc. of the Int. Workshop on Self-Adaptation and Self-Managing systems,*2006, pp. 79-85. **H. S. Chang**, M. Fu, and S. I. Marcus, Adversarial Multi-Armed Bandit Approach to Stochastic Optimization,

in*Proc. of the 45th IEEE Conf. on Decision and Control*, 2006, pp. 5681-5686.**H. S. Chang**, M. Fu, and S. I. Marcus, Adversarial Multi-Armed Bandit Approach to Two-Person Zero-Sum Markov Games,

in*Proc. of the 46th IEEE Conf. on Decision and Control*, 2007, pp. 127-132.**H. S. Chang**, Stochastic Iterative Approximation for Parallel Rollout and Policy Switching,

in*Proc. of the 17th Int. Federation of Automatic Control (IFAC) World Congress,*2008, pp. 15475-15479.- J. Hu and
**H. S. Chang**, A Population-Based Cross-Entropy Method with Dynamic Sample Allocation,

in*Proc. of the 47th IEEE Conf. on Decision and Control*, 2008, pp. 2426-2431. - J. Hu and
**H. S. Chang**, An Approximate Stochastic Annealing Algorithm for Finite Horizon Markov Decision Processes,

in*Proc. of the 49th IEEE Conf. on Decision and Control*, 2010, pp. 5338-5343.

**H. S. Chang**, "Book Review: Advances in Dynamic Games, Applications to Economics, Finance, Optimization, and Stochastic Control,"*Automatica*, Vol. 42, No. 1, 2006.1, pp. 190-192.- S. H. Jeon,
**H. S. Chang**, M. Hur, K. H. Kwon, S. Kim, H. S. Kim, J. S. Yoo, S. Park, and H. B. Oh, "Speed Improvement of an FTICR Mass Spectra Analysis Program by Simple Modifications,"*The Bulletin of the Korean Chemical Society*, Vol. 30, No. 9, 2009, pp. 2061-2065. - Domestic papers