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Huizhen Yu

Orcid: 0000-0002-3673-0094

According to our database1, Huizhen Yu authored at least 34 papers between 2001 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
On Strategic Measures and Optimality Properties in Discrete-Time Stochastic Control with Universally Measurable Policies.
[BibTeX]
[DOI]
Huizhen Yu
Math. Oper. Res., 2024

Asynchronous Stochastic Approximation and Average-Reward Reinforcement Learning.
[BibTeX]
[DOI]
Huizhen Yu
,
Yi Wan
,
Richard S. Sutton
CoRR, 2024

On Convergence of Average-Reward Q-Learning in Weakly Communicating Markov Decision Processes.
[BibTeX]
[DOI]
Yi Wan
,
Huizhen Yu
,
Richard S. Sutton
CoRR, 2024

2023
A Note on Stability in Asynchronous Stochastic Approximation without Communication Delays.
[BibTeX]
[DOI]
Huizhen Yu
,
Yi Wan
,
Richard S. Sutton
CoRR, 2023

2022
On Linear Programming for Constrained and Unconstrained Average-Cost Markov Decision Processes with Countable Action Spaces and Strictly Unbounded Costs.
[BibTeX]
[DOI]
Huizhen Yu
Math. Oper. Res., 2022

2020
Average Cost Optimality Inequality for Markov Decision Processes with Borel Spaces and Universally Measurable Policies.
[BibTeX]
[DOI]
Huizhen Yu
SIAM J. Control. Optim., 2020

On the Minimum Pair Approach for Average Cost Markov Decision Processes with Countable Discrete Action Spaces and Strictly Unbounded Costs.
[BibTeX]
[DOI]
Huizhen Yu
SIAM J. Control. Optim., 2020

Research on the Structural Impact of the Disappearance of China's Demographic Dividend on the Education Industry.
[BibTeX]
[DOI]
Huizhen Yu
Proceedings of the ICETM 2020: 3rd International Conference on Education Technology Management, 2020

2018
On Generalized Bellman Equations and Temporal-Difference Learning.
[BibTeX]
[DOI]
Huizhen Yu
,
Ashique Rupam Mahmood
,
Richard S. Sutton
J. Mach. Learn. Res., 2018

Two geometric input transformation methods for fast online reinforcement learning with neural nets.
[BibTeX]
[DOI]
Sina Ghiassian
,
Huizhen Yu
,
Banafsheh Rafiee
,
Richard S. Sutton
CoRR, 2018

2017
On Convergence of some Gradient-based Temporal-Differences Algorithms for Off-Policy Learning.
[BibTeX]
[DOI]
Huizhen Yu
CoRR, 2017

Multi-step Off-policy Learning Without Importance Sampling Ratios.
[BibTeX]
[DOI]
Ashique Rupam Mahmood
,
Huizhen Yu
,
Richard S. Sutton
CoRR, 2017

2016
Weak Convergence Properties of Constrained Emphatic Temporal-difference Learning with Constant and Slowly Diminishing Stepsize.
[BibTeX]
[DOI]
Huizhen Yu
J. Mach. Learn. Res., 2016

Some Simulation Results for Emphatic Temporal-Difference Learning Algorithms.
[BibTeX]
[DOI]
Huizhen Yu
CoRR, 2016

2015
On Convergence of Value Iteration for a Class of Total Cost Markov Decision Processes.
[BibTeX]
[DOI]
Huizhen Yu
SIAM J. Control. Optim., 2015

A Mixed Value and Policy Iteration Method for Stochastic Control with Universally Measurable Policies.
[BibTeX]
[DOI]
Huizhen Yu
,
Dimitri P. Bertsekas
Math. Oper. Res., 2015

Emphatic Temporal-Difference Learning.
[BibTeX]
[DOI]
Ashique Rupam Mahmood
,
Huizhen Yu
,
Martha White
,
Richard S. Sutton
CoRR, 2015

On Convergence of Emphatic Temporal-Difference Learning.
[BibTeX]
[DOI]
Huizhen Yu
Proceedings of The 28th Conference on Learning Theory, 2015

2013
On Boundedness of Q-Learning Iterates for Stochastic Shortest Path Problems.
[BibTeX]
[DOI]
Huizhen Yu
,
Dimitri P. Bertsekas
Math. Oper. Res., 2013

Q-learning and policy iteration algorithms for stochastic shortest path problems.
[BibTeX]
[DOI]
Huizhen Yu
,
Dimitri P. Bertsekas
Ann. Oper. Res., 2013

2012
Least Squares Temporal Difference Methods: An Analysis under General Conditions.
[BibTeX]
[DOI]
Huizhen Yu
SIAM J. Control. Optim., 2012

Q-Learning and Enhanced Policy Iteration in Discounted Dynamic Programming.
[BibTeX]
[DOI]
Dimitri P. Bertsekas
,
Huizhen Yu
Math. Oper. Res., 2012

2011
A Unifying Polyhedral Approximation Framework for Convex Optimization.
[BibTeX]
[DOI]
Dimitri P. Bertsekas
,
Huizhen Yu
SIAM J. Optim., 2011

2010
Error Bounds for Approximations from Projected Linear Equations.
[BibTeX]
[DOI]
Huizhen Yu
,
Dimitri P. Bertsekas
Math. Oper. Res., 2010

Convergence of Least Squares Temporal Difference Methods Under General Conditions.
[BibTeX]
[DOI]
Huizhen Yu
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Distributed asynchronous policy iteration in dynamic programming.
[BibTeX]
[DOI]
Dimitri P. Bertsekas
,
Huizhen Yu
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Convergence Results for Some Temporal Difference Methods Based on Least Squares.
[BibTeX]
[DOI]
Huizhen Yu
,
Dimitri P. Bertsekas
IEEE Trans. Autom. Control., 2009

Basis function adaptation methods for cost approximation in MDP.
[BibTeX]
[DOI]
Huizhen Yu
,
Dimitri P. Bertsekas
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008
On Near Optimality of the Set of Finite-State Controllers for Average Cost POMDP.
[BibTeX]
[DOI]
Huizhen Yu
,
Dimitri P. Bertsekas
Math. Oper. Res., 2008

New Error Bounds for Approximations from Projected Linear Equations.
[BibTeX]
[DOI]
Huizhen Yu
,
Dimitri P. Bertsekas
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

2006
Approximate solution methods for POMDP and POSMDP.
[BibTeX]
[DOI]
Huizhen Yu
PhD thesis, 2006

2005
A Function Approximation Approach to Estimation of Policy Gradient for POMDP with Structured Policies.
[BibTeX]
[DOI]
Huizhen Yu
Proceedings of the UAI '05, 2005

2004
Discretized Approximations for POMDP with Average Cost.
[BibTeX]
[DOI]
Huizhen Yu
,
Dimitri P. Bertsekas
Proceedings of the UAI '04, 2004

2001
Combining Configurational and Statistical Approaches in Image Retrieval.
[BibTeX]
[DOI]
Huizhen Yu
,
W. Eric L. Grimson
Proceedings of the Advances in Multimedia Information Processing, 2001


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