Hyeong Soo Chang

发表

Approximate stochastic annealing for online control of infinite horizon Markov decision processes

Jiaqiao Hu, Hyeong Soo Chang, 2012, Autom..

Random search for constrained Markov decision processes with multi-policy improvement

Hyeong Soo Chang, 2015, Autom..

On-line Scheduling via Sampling

Robert Givan, Edwin K. P. Chong, Hyeong Soo Chang, 2000, AIPS.

Multitime scale Markov decision processes

Mark A. Shayman, Hyeong Soo Chang, Steven I. Marcus, 2003, IEEE Trans. Autom. Control..

Parallelizing Parallel Rollout Algorithm for Solving Markov Decision Processes

Seon Wook Kim, Hyeong Soo Chang, 2003, WOMPAT.

Policy set iteration for Markov decision processes

Hyeong Soo Chang, H. Chang, 2013, Autom..

Adversarial Multi-Armed Bandit Approach to Stochastic Optimization

Hyeong Soo Chang, M.C. Fu, S.I. Marcus, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

A policy iteration heuristic for constrained discounted controlled Markov Chains

Hyeong Soo Chang, 2012, Optim. Lett..

An Asymptotically Efficient Simulation-Based Algorithm for Finite Horizon Stochastic Dynamic Programming

Michael C. Fu, Jiaqiao Hu, Hyeong Soo Chang, 2007, IEEE Transactions on Automatic Control.

Sleeping experts and bandits approach to constrained Markov decision processes

Hyeong Soo Chang, H. Chang, 2014, Autom..

Adversarial multi-armed bandit approach to two-person zero-sum Markov games

Michael C. Fu, Hyeong Soo Chang, Steven I. Marcus, 2007, 2007 46th IEEE Conference on Decision and Control.

Parallel Rollout for Online Solution of Partially Observable Markov Decision Processes

Robert Givan, Edwin K. P. Chong, Hyeong Soo Chang, 2004, Discret. Event Dyn. Syst..

Converging Coevolutionary Algorithm for Two-Person Zero-Sum Discounted Markov Games With Perfect Information

Hyeong Soo Chang, 2008, IEEE Transactions on Automatic Control.

Error bounds for finite step approximations for solving infinite horizon controlled Markov set-chains

Hyeong Soo Chang, 2005, IEEE Transactions on Automatic Control.

On functional equations for Kth best policies in Markov decision processes

Hyeong Soo Chang, H. Chang, 2013, Autom..

An Approximate Stochastic Annealing algorithm for finite horizon Markov decision processes

Jiaqiao Hu, Hyeong Soo Chang, 2010, 49th IEEE Conference on Decision and Control (CDC).

Evolutionary policy iteration for solving Markov decision processes

Michael C. Fu, Hyeong Soo Chang, Steven I. Marcus, 2005, IEEE Transactions on Automatic Control.

An Index-based Deterministic Asymptotically Optimal Algorithm for Constrained Multi-armed Bandit Problems pdf

Hyeong Soo Chang, H. Chang, 2020, ArXiv.

On the Probability of Correct Selection in Ordinal Comparison over Dynamic Networks

Jiaqiao Hu, Hyeong Soo Chang, 2012, J. Optim. Theory Appl..

Adaptive Adversarial Multi-Armed Bandit Approach to Two-Person Zero-Sum Markov Games

Michael C. Fu, Jiaqiao Hu, Hyeong Soo Chang, 2010, IEEE Trans. Autom. Control..

Solving Controlled Markov Set-Chains With Discounting via Multipolicy Improvement

Edwin K. P. Chong, Hyeong Soo Chang, E. Chong, 2007, IEEE Transactions on Automatic Control.

An ant system based multicasting in mobile ad hoc network

Hyeong Soo Chang, Se-young Lee, 2005, 2005 IEEE Congress on Evolutionary Computation.

Decentralized Learning in Finite Markov Chains: Revisited

Hyeong Soo Chang, 2009, IEEE Transactions on Automatic Control.

An ant system based exploration-exploitation for reinforcement learning

Hyeong Soo Chang, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

A Short Note on Combining Multiple Policies in Risk-Sensitive Exponential Average Reward Markov Decision Processes

Hyeong Soo Chang, 2009 .

Finite-Step Approximation Error Bounds for Solving Average-Reward-Controlled Markov Set-Chains

Hyeong Soo Chang, 2008, IEEE Transactions on Automatic Control.

Simulation-based Algorithms for Markov Decision Processes/ Hyeong Soo Chang ... [et al.]

Jiaqiao Hu, Hyeong Soo Chang, Steven I. Marcus, 2013 .

Reinforcement learning with supervision by combining multiple learnings and expert advices

Hyeong Soo Chang, 2006, 2006 American Control Conference.

Receding horizon approach to Markov games for infinite horizon discounted cost

Hyeong Soo Chang, S. I. Marcus, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

On Convergence of Evolutionary Computation for Stochastic Combinatorial Optimization

Hyeong Soo Chang, H. Chang, 2009 .

Recursive Learning Automata for Control of Partially Observable Markov Decision Processes

Hyeong Soo Chang, M.C. Fu, S.I. Marcus, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

A Policy Improvement Method in Constrained Stochastic Dynamic Programming

Hyeong Soo Chang, 2006, IEEE Transactions on Automatic Control.

A survey of some simulation-based algorithms for Markov decision processes

Steven I. Marcus, Jiaqiao Hu, Hyeong Soo Chang, 2007, Commun. Inf. Syst..

Durable Distance Vector Multicasting Protocol for Mobile Ad Hoc Networks

Hyeong Soo Chang, Se-young Lee, 2006, 2006 IEEE International Conference on Networking, Sensing and Control.

An asymptotically optimal strategy for constrained multi-armed bandit problems

Hyeong Soo Chang, H. Chang, 2018, Math. Methods Oper. Res..

An adaptation of particle swarm optimization for Markov decision processes

Hyeong Soo Chang, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

On Solving Controlled Markov Set-Chains via Multi-Policy Improvement

Hyeong Soo Chang, E.K.P. Chong, E. Chong, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

Localization and a Distributed Local Optimal Solution Algorithm for a Class of Multi-Agent Markov Decision Processes

Hyeong Soo Chang, 2003 .

On-line sampling-based control for network queueing problems

Robert Givan, Hyeong Soo Chang, R. Givan, 2001 .

IEEE Transactions on Automatic Control

Fernando Paganini, Miroslav Krstic, Magnus Egerstedt, 2006 .

Multi-policy iteration with a distributed voting

Hyeong Soo Chang, H. Chang, 2004, Math. Methods Oper. Res..

Converging Marriage in Honey-Bees Optimization and Application to Stochastic Dynamic Programming

Hyeong Soo Chang, H. Chang, 2006, J. Glob. Optim..

Model Reference Adaptive Search

Steven I. Marcus, Jiaqiao Hu, Hyeong Soo Chang, 2013 .

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

Hyeong Soo Chang, H. Chang, 2006, Autom..

A Stochastic Approximation Framework for a Class of Randomized Optimization Algorithms

Ping Hu, Jiaqiao Hu, Hyeong Soo Chang, 2012, IEEE Transactions on Automatic Control.

On-Line Control Methods via Simulation

Steven I. Marcus, Jiaqiao Hu, Hyeong Soo Chang, 2013 .

Recursive Learning Automata Approach to Markov Decision Processes

Michael C. Fu, Jiaqiao Hu, Hyeong Soo Chang, 2007, IEEE Transactions on Automatic Control.

An exact iterative search algorithm for constrained Markov decision processes

Hyeong Soo Chang, H. Chang, 2014, Autom..

Population-Based Evolutionary Approaches

Jiaqiao Hu, Hyeong Soo Chang, Steven I. Marcus, 2013 .

Multi-stage Adaptive Sampling Algorithms

Steven I. Marcus, Jiaqiao Hu, Hyeong Soo Chang, 2013 .

A policy improvement method for constrained average Markov decision processes

Hyeong Soo Chang, 2007, Oper. Res. Lett..

Perfect information two-person zero-sum markov games with imprecise transition probabilities

Hyeong Soo Chang, 2006, Math. Methods Oper. Res..

A population-based cross-entropy method with dynamic sample allocation

Jiaqiao Hu, Hyeong Soo Chang, 2008, 2008 47th IEEE Conference on Decision and Control.

Scheduling Multiclass Packet Streams to Minimize Weighted Loss

Robert Givan, Edwin K. P. Chong, Hyeong Soo Chang, 2002, Queueing Syst. Theory Appl..

Dynamic sample budget allocation in model-based optimization

Michael C. Fu, Jiaqiao Hu, Hyeong Soo Chang, 2011, J. Glob. Optim..

Value set iteration for Markov decision processes

Hyeong Soo Chang, 2014, Autom..

Value set iteration for two-person zero-sum Markov games

Hyeong Soo Chang, 2017, Autom..

Stochastic Iterative Approximation for Parallel Rollout and Policy Switching

Hyeong Soo Chang, 2008 .

Book review: Advances in Dynamic Games, Applications to Economics, Finance, Optimization, and Stochastic Control

Hyeong Soo Chang, H. Chang, 2006 .

A framework for simulation-based network control via hindsight optimization

Robert Givan, Edwin K. P. Chong, Hyeong Soo Chang, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

Two-person zero-sum Markov games: receding horizon approach

Hyeong Soo Chang, Steven I. Marcus, S. Marcus, 2003, IEEE Trans. Autom. Control..

Combining Multiple Strategies for Sleeping Bandits with Stochastic Rewards and Availability

Sanghee Choi, Hyeong Soo Chang, 2017 .

Simulation-based Algorithms for Markov Decision Processes/ Hyeong Soo Chang ... [et al.]

Steven I. Marcus, Jiaqiao Hu, Hyeong Soo Chang, 2013 .

An Adaptive Sampling Algorithm for Solving Markov Decision Processes

Michael C. Fu, Jiaqiao Hu, Hyeong Soo Chang, 2005, Oper. Res..

On the use of flow migration for handling short-term overloads

Richard J. La, Mark A. Shayman, Bobby Bhattacharjee, 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

Simulation-based Algorithms for Markov Decision Processes (Communications and Control Engineering)

Jiaqiao Hu, Hyeong Soo Chang, Steven I. Marcus, 2007 .

On-line Policy Iteration with Policy Switching for Markov Decision Processes

Hyeong Soo Chang, 2021 .

An index-based deterministic convergent optimal algorithm for constrained multi-armed bandit problems

Hyeong Soo Chang, 2021, Autom..

Nonstochastic Multi-Armed Bandit Approach to Stochastic Discrete Optimization

Michael C. Fu, Jiaqiao Hu, Hyeong Soo Chang, 2007 .

Localization for a class of two-team zero-sum Markov games

Michael C. Fu, Hyeong Soo Chang, 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

Model-based Random Early Packet Dropping

Robert Givan, Edwin K. P. Chong, Hyeong Soo Chang, .

Technical Note: On Ordinal Comparison of Policies in Markov Reward Processes

Hyeong Soo Chang, H. Chang, 2004 .