Huizhen Yu

ORCID

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 19

Top Venues

CoRR

SIAM J. Control. Optim.

Math. Oper. Res.

J. Mach. Learn. Res.

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Huizhen Yu, Yi Wan, Richard S. Sutton
A Note on Stability in Asynchronous Stochastic Approximation without Communication Delays. CoRR (2023)
Huizhen Yu
On Linear Programming for Constrained and Unconstrained Average-Cost Markov Decision Processes with Countable Action Spaces and Strictly Unbounded Costs. Math. Oper. Res. 47 (2) (2022)
Huizhen Yu
Average Cost Optimality Inequality for Markov Decision Processes with Borel Spaces and Universally Measurable Policies. SIAM J. Control. Optim. 58 (4) (2020)
Huizhen Yu
On the Minimum Pair Approach for Average Cost Markov Decision Processes with Countable Discrete Action Spaces and Strictly Unbounded Costs. SIAM J. Control. Optim. 58 (2) (2020)
Huizhen Yu
Research on the Structural Impact of the Disappearance of China's Demographic Dividend on the Education Industry. ICETM (2020)
Huizhen Yu, Ashique Rupam Mahmood, Richard S. Sutton
On Generalized Bellman Equations and Temporal-Difference Learning. J. Mach. Learn. Res. 19 (2018)
Sina Ghiassian, Huizhen Yu, Banafsheh Rafiee, Richard S. Sutton
Two geometric input transformation methods for fast online reinforcement learning with neural nets. CoRR (2018)
Huizhen Yu, Ashique Rupam Mahmood, Richard S. Sutton
On Generalized Bellman Equations and Temporal-Difference Learning. CoRR (2017)
Ashique Rupam Mahmood, Huizhen Yu, Richard S. Sutton
Multi-step Off-policy Learning Without Importance Sampling Ratios. CoRR (2017)
Huizhen Yu, Ashique Rupam Mahmood, Richard S. Sutton
On Generalized Bellman Equations and Temporal-Difference Learning. Canadian Conference on AI (2017)
Huizhen Yu
On Convergence of some Gradient-based Temporal-Differences Algorithms for Off-Policy Learning. CoRR (2017)
Huizhen Yu
Some Simulation Results for Emphatic Temporal-Difference Learning Algorithms. CoRR (2016)
Huizhen Yu
Weak Convergence Properties of Constrained Emphatic Temporal-difference Learning with Constant and Slowly Diminishing Stepsize. J. Mach. Learn. Res. 17 (2016)
Huizhen Yu
On Convergence of Value Iteration for a Class of Total Cost Markov Decision Processes. SIAM J. Control. Optim. 53 (4) (2015)
Huizhen Yu
On Convergence of Emphatic Temporal-Difference Learning. COLT (2015)
Huizhen Yu
Weak Convergence Properties of Constrained Emphatic Temporal-difference Learning with Constant and Slowly Diminishing Stepsize. CoRR (2015)
Huizhen Yu
On Convergence of Emphatic Temporal-Difference Learning. CoRR (2015)
Ashique Rupam Mahmood, Huizhen Yu, Martha White, Richard S. Sutton
Emphatic Temporal-Difference Learning. CoRR (2015)
Huizhen Yu, Dimitri P. Bertsekas
A Mixed Value and Policy Iteration Method for Stochastic Control with Universally Measurable Policies. Math. Oper. Res. 40 (4) (2015)
Huizhen Yu, Dimitri P. Bertsekas
Q-learning and policy iteration algorithms for stochastic shortest path problems. Ann. Oper. Res. 208 (1) (2013)
Huizhen Yu, Dimitri P. Bertsekas
On Boundedness of Q-Learning Iterates for Stochastic Shortest Path Problems. Math. Oper. Res. 38 (2) (2013)
Huizhen Yu
A Function Approximation Approach to Estimation of Policy Gradient for POMDP with Structured Policies CoRR (2012)
Huizhen Yu
Least Squares Temporal Difference Methods: An Analysis under General Conditions. SIAM J. Control. Optim. 50 (6) (2012)
Huizhen Yu, Dimitri P. Bertsekas
Discretized Approximations for POMDP with Average Cost CoRR (2012)
Dimitri P. Bertsekas, Huizhen Yu
Q-Learning and Enhanced Policy Iteration in Discounted Dynamic Programming. Math. Oper. Res. 37 (1) (2012)
Dimitri P. Bertsekas, Huizhen Yu
A Unifying Polyhedral Approximation Framework for Convex Optimization. SIAM J. Optim. 21 (1) (2011)
Dimitri P. Bertsekas, Huizhen Yu
Distributed asynchronous policy iteration in dynamic programming. Allerton (2010)
Huizhen Yu
Convergence of Least Squares Temporal Difference Methods Under General Conditions. ICML (2010)
Huizhen Yu, Dimitri P. Bertsekas
Error Bounds for Approximations from Projected Linear Equations. Math. Oper. Res. 35 (2) (2010)
Dimitri P. Bertsekas, Huizhen Yu
Q-learning and enhanced policy iteration in discounted dynamic programming. CDC (2010)
Huizhen Yu, Dimitri P. Bertsekas
Convergence Results for Some Temporal Difference Methods Based on Least Squares. IEEE Trans. Autom. Control. 54 (7) (2009)
Huizhen Yu, Dimitri P. Bertsekas
Basis function adaptation methods for cost approximation in MDP. ADPRL (2009)
Huizhen Yu, Dimitri P. Bertsekas
New Error Bounds for Approximations from Projected Linear Equations. EWRL (2008)
Huizhen Yu, Dimitri P. Bertsekas
New error bounds for approximations from projected linear equations. Allerton (2008)
Huizhen Yu, Dimitri P. Bertsekas
On Near Optimality of the Set of Finite-State Controllers for Average Cost POMDP. Math. Oper. Res. 33 (1) (2008)
Huizhen Yu
A Function Approximation Approach to Estimation of Policy Gradient for POMDP with Structured Policies. UAI (2005)
Huizhen Yu, Dimitri P. Bertsekas
Discretized Approximations for POMDP with Average Cost. UAI (2004)
Huizhen Yu, W. Eric L. Grimson
Combining Configurational and Statistical Approaches in Image Retrieval. IEEE Pacific Rim Conference on Multimedia (2001)

Huizhen Yu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Huizhen Yu