Andrew Patterson

Andrew Patterson

University of Alberta

H-index: 8

North America-Canada

About Andrew Patterson

Andrew Patterson, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Alberta, specializes in the field of Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Gradient Critic for Policy Gradient Estimation

Empirical design in reinforcement learning

When is Offline Policy Selection Sample Efficient for Reinforcement Learning?

Robust losses for learning value functions

When is Offline Hyperparameter Selection Feasible for Reinforcement Learning?

A temporal-difference approach to policy gradient estimation

A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning

The cross-environment hyperparameter setting benchmark for reinforcement learning

Andrew Patterson Information

University

Position

___

Citations(all)

523

Citations(since 2020)

517

Cited By

148

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

University of Alberta

Google Scholar

View Google Scholar Profile

Andrew Patterson Skills & Research Interests

Reinforcement Learning

Top articles of Andrew Patterson

Title

Journal

Author(s)

Publication Date

A Gradient Critic for Policy Gradient Estimation

Samuele Tosatto

Andrew Patterson

Martha White

A Rupam Mahmood

2023/7/20

Empirical design in reinforcement learning

arXiv preprint arXiv:2304.01315

Andrew Patterson

Samuel Neumann

Martha White

Adam White

2023/4/3

When is Offline Policy Selection Sample Efficient for Reinforcement Learning?

arXiv preprint arXiv:2312.02355

Vincent Liu

Prabhat Nagarajan

Andrew Patterson

Martha White

2023/12/4

Robust losses for learning value functions

IEEE Transactions on Pattern Analysis and Machine Intelligence

Andrew Patterson

Victor Liao

Martha White

2022/10/13

When is Offline Hyperparameter Selection Feasible for Reinforcement Learning?

Vincent Liu

Prabhat Nagarajan

Andrew Patterson

Martha White

2022/9/29

A temporal-difference approach to policy gradient estimation

Samuele Tosatto

Andrew Patterson

Martha White

Rupam Mahmood

2022/6/28

A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning

Journal of Machine Learning Research

Andrew Patterson

Adam White

Martha White

2022

The cross-environment hyperparameter setting benchmark for reinforcement learning

Andrew Patterson

Samuel Neumann

A White

Raksha Kumaraswamy

Martha White

2021

Gradient Temporal-Difference Learning with Regularized Corrections

Sina Ghiassian

Andrew Patterson

Shivam Garg

Dhawal Gupta

Adam White

...

2020/11/21

See List of Professors in Andrew Patterson University(University of Alberta)

Co-Authors

H-index: 31
Martha White

Martha White

University of Alberta

H-index: 26
Eleftherios Garyfallidis

Eleftherios Garyfallidis

Indiana University Bloomington

H-index: 20
Cesar F. Caiafa

Cesar F. Caiafa

Universidad Nacional de La Plata

H-index: 13
Robert Henschel

Robert Henschel

Indiana University Bloomington

H-index: 8
Sina Ghiassian

Sina Ghiassian

University of Alberta

H-index: 6
Dhawal Gupta

Dhawal Gupta

University of Alberta

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