Jiaqiao Hu

Orcid: 0000-0002-9999-672X

According to our database1, Jiaqiao Hu authored at least 49 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Quantile-Based Deep Reinforcement Learning using Two-Timescale Policy Gradient Algorithms.
CoRR, 2023

Simultaneous Perturbation-Based Stochastic Approximation For Quantile Optimization.
Proceedings of the Winter Simulation Conference, 2023

2022
Actor-Critic-Like Stochastic Adaptive Search for Continuous Simulation Optimization.
Oper. Res., November, 2022

Quantile-Based Policy Optimization for Reinforcement Learning.
Proceedings of the Winter Simulation Conference, 2022

2021
Variance Reduction for Generalized Likelihood Ratio Method in Quantile Sensitivity Estimation.
Proceedings of the Winter Simulation Conference, 2021

2020
Asynchronous Value Iteration for Markov Decision Processes with Continuous State Spaces.
Proceedings of the Winter Simulation Conference, 2020

2019
An iterative algorithm for optimal variable weighting in K-means clustering.
Commun. Stat. Simul. Comput., 2019

Simulation Optimization Using Multi-Time-Scale Adaptive Random Search.
Asia Pac. J. Oper. Res., 2019

Enhancing Random Search with Surrogate Models for Lipschitz Continuous Optimization.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Some Monotonicity Results for Stochastic Kriging Metamodels in Sequential Settings.
INFORMS J. Comput., 2018

Surrogate-Based Promising Area Search for Lipschitz Continuous Simulation Optimization.
INFORMS J. Comput., 2018

A minimum deviation approach for improving the consistency of uncertain 2-tuple linguistic preference relations.
Comput. Ind. Eng., 2018

2017
Combining comparative linguistic expressions and numerical information in multi-attribute group decision making - A simulation-based approach.
J. Intell. Fuzzy Syst., 2017

Computing equilibrium prices for a capital asset pricing model with heterogeneous beliefs and margin-requirement constraints.
Eur. J. Oper. Res., 2017

A Computational Algorithm for Equilibrium Asset Pricing Under Heterogeneous Information and Short-Sale Constraints.
Asia Pac. J. Oper. Res., 2017

A two-time-scale adaptive search algorithm for global optimization.
Proceedings of the 2017 Winter Simulation Conference, 2017

2016
Simulation optimization via promising region search and surrogate model approximation.
Proceedings of the Winter Simulation Conference, 2016

2015
On the monotonic performance of stochastic kriging predictors.
Proceedings of the 2015 Winter Simulation Conference, 2015

2014
Model-Based Annealing Random Search with Stochastic Averaging.
ACM Trans. Model. Comput. Simul., 2014

Gradient-Based Adaptive Stochastic Search for Non-Differentiable Optimization.
IEEE Trans. Autom. Control., 2014

2013
Adaptive simulation budget allocation for determining the best design.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Voltage and reactive power control using approximate stochastic annealing.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
A Stochastic Approximation Framework for a Class of Randomized Optimization Algorithms.
IEEE Trans. Autom. Control., 2012

On the Probability of Correct Selection in Ordinal Comparison over Dynamic Networks.
J. Optim. Theory Appl., 2012

Approximate stochastic annealing for online control of infinite horizon Markov decision processes.
Autom., 2012

Combining gradient-based optimization with stochastic search.
Proceedings of the Winter Simulation Conference, 2012

2011
Dynamic sample budget allocation in model-based optimization.
J. Glob. Optim., 2011

Discrete optimization via approximate annealing adaptive search with stochastic averaging.
Proceedings of the Winter Simulation Conference 2011, 2011

A rolling horizon approach to distribution feeder reconfiguration with switching costs.
Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011

Model-building semi-Markov adaptive critics.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
Adaptive Adversarial Multi-Armed Bandit Approach to Two-Person Zero-Sum Markov Games.
IEEE Trans. Autom. Control., 2010

An approximate Annealing Search algorithm to global optimization and its connection to stochastic approximation.
Proceedings of the 2010 Winter Simulation Conference, 2010

An Approximate Stochastic Annealing algorithm for finite horizon Markov decision processes.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Dynamic hedge fund asset allocation under multiple regimes.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
On the Performance of the Cross-Entropy Method.
Proceedings of the 2009 Winter Simulation Conference, 2009

2008
Multi-step variance minimization in sequential tests.
Stat. Comput., 2008

Bootstrap quantile estimation via importance resampling.
Comput. Stat. Data Anal., 2008

A Model Reference Adaptive Search Method for Stochastic Global Optimization.
Commun. Inf. Syst., 2008

A population-based cross-entropy method with dynamic sample allocation.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Recursive Learning Automata Approach to Markov Decision Processes.
IEEE Trans. Autom. Control., 2007

An Asymptotically Efficient Simulation-Based Algorithm for Finite Horizon Stochastic Dynamic Programming.
IEEE Trans. Autom. Control., 2007

A Model Reference Adaptive Search Method for Global Optimization.
Oper. Res., 2007

An Evolutionary Random Policy Search Algorithm for Solving Markov Decision Processes.
INFORMS J. Comput., 2007

A survey of some simulation-based algorithms for Markov decision processes.
Commun. Inf. Syst., 2007

Computing and Using Lower and Upper Bounds for Action Elimination in MDP Planning.
Proceedings of the Abstraction, 2007

A model reference adaptive search method for stochastic optimization with applications to Markov decision processes.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Randomized Search Methods for Solving Markov Decision Processes and Global Optimization.
PhD thesis, 2006

2005
An Adaptive Sampling Algorithm for Solving Markov Decision Processes.
Oper. Res., 2005

Stochastic optimization using model reference adaptive search.
Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005


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