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Yi Wan

Affiliations:
  • Meta AI Research, New York City, NY, USA
  • University of Alberta, Department of Computing Science, Edmonton, AB, Canada (PhD 2023)
  • Alberta Machine Intelligence Institute (Amii), Edmonton, AB, Canada


According to our database1, Yi Wan authored at least 13 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Asynchronous Stochastic Approximation with Applications to Average-Reward Reinforcement Learning.
[BibTeX]
[DOI]
Huizhen Yu
,
Yi Wan
,
Richard S. Sutton
SIAM J. Control. Optim., 2026

2025
Average-reward reinforcement learning in semi-Markov decision processes via relative value iteration.
[BibTeX]
[DOI]
Huizhen Yu
,
Yi Wan
,
Richard S. Sutton
CoRR, December, 2025

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

Reward Centering.
[BibTeX]
[DOI]
Abhishek Naik
,
Yi Wan
,
Manan Tomar
,
Richard S. Sutton
RLJ, 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 Convergence of Average-Reward Off-Policy Control Algorithms in Weakly-Communicating MDPs.
[BibTeX]
[DOI]
Yi Wan
,
Richard S. Sutton
CoRR, 2022

Toward Discovering Options that Achieve Faster Planning.
[BibTeX]
[DOI]
Yi Wan
,
Richard S. Sutton
CoRR, 2022

2021
Planning with Expectation Models for Control.
[BibTeX]
[DOI]
Katya Kudashkina
,
Yi Wan
,
Abhishek Naik
,
Richard S. Sutton
CoRR, 2021

Average-Reward Learning and Planning with Options.
[BibTeX]
[DOI]
Yi Wan
,
Abhishek Naik
,
Richard S. Sutton
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Average-Reward Off-Policy Policy Evaluation with Function Approximation.
[BibTeX]
[DOI]
Shangtong Zhang
,
Yi Wan
,
Richard S. Sutton
,
Shimon Whiteson
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning and Planning in Average-Reward Markov Decision Processes.
[BibTeX]
[DOI]
Yi Wan
,
Abhishek Naik
,
Richard S. Sutton
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
Planning with Expectation Models.
[BibTeX]
[DOI]
Yi Wan
,
Muhammad Zaheer
,
Adam White
,
Martha White
,
Richard S. Sutton
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019


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