Martha White

Martha White

University of Alberta

H-index: 31

North America-Canada

About Martha White

Martha White, With an exceptional h-index of 31 and a recent h-index of 27 (since 2020), a distinguished researcher at University of Alberta, specializes in the field of Machine Learning.

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

Compound Returns Reduce Variance in Reinforcement Learning

Tuning for the Unknown: Revisiting Evaluation Strategies for Lifelong RL

Investigating the properties of neural network representations in reinforcement learning

Investigating the Histogram Loss in Regression

What to do when your discrete optimization is the size of a neural network?

General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence

Off-policy actor-critic with emphatic weightings

Empirical Design in Reinforcement Learning

Martha White Information

University

Position

___

Citations(all)

3686

Citations(since 2020)

3146

Cited By

1559

hIndex(all)

31

hIndex(since 2020)

27

i10Index(all)

57

i10Index(since 2020)

51

Email

University Profile Page

University of Alberta

Google Scholar

View Google Scholar Profile

Martha White Skills & Research Interests

Machine Learning

Top articles of Martha White

Title

Journal

Author(s)

Publication Date

Compound Returns Reduce Variance in Reinforcement Learning

arXiv preprint arXiv:2402.03903

Brett Daley

Martha White

Marlos C Machado

2024/2/6

Tuning for the Unknown: Revisiting Evaluation Strategies for Lifelong RL

arXiv preprint arXiv:2404.02113

Golnaz Mesbahi

Olya Mastikhina

Parham Mohammad Panahi

Martha White

Adam White

2024/4/2

Investigating the properties of neural network representations in reinforcement learning

Artificial Intelligence

Han Wang

Erfan Miahi

Martha White

Marlos C Machado

Zaheer Abbas

...

2024/3/1

Investigating the Histogram Loss in Regression

arXiv preprint arXiv:2402.13425

Ehsan Imani

Kai Luedemann

Sam Scholnick-Hughes

Esraa Elelimy

Martha White

2024/2/20

What to do when your discrete optimization is the size of a neural network?

arXiv preprint arXiv:2402.10339

Hugo Silva

Martha White

2024/2/15

General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence

Advances in Neural Information Processing Systems

Lingwei Zhu

Zheng Chen

Matthew Schlegel

Martha White

2024/2/13

Off-policy actor-critic with emphatic weightings

Journal of Machine Learning Research

Eric Graves

Ehsan Imani

Raksha Kumaraswamy

Martha White

2023

Empirical Design in Reinforcement Learning

arXiv preprint arXiv:2304.01315

Andrew Patterson

Samuel Neumann

Martha White

Adam White

2023/4/3

GVFs in the real world: making predictions online for water treatment

Machine Learning

Muhammad Kamran Janjua

Haseeb Shah

Martha White

Erfan Miahi

Marlos C Machado

...

2023/11/8

The In-Sample Softmax for Offline Reinforcement Learning

arXiv preprint arXiv:2302.14372

Chenjun Xiao

Han Wang

Yangchen Pan

Adam White

Martha White

2023/2/28

Value Bonuses using Ensemble Errors for Exploration in Reinforcement Learning

Abdul Wahab

Raksha Kumaraswamy

Martha White

2023/10/13

Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence

arXiv preprint arXiv:2301.11476

Lingwei Zhu

Zheng Chen

Matthew Schlegel

Martha White

2023/1/27

Trajectory-aware eligibility traces for off-policy reinforcement learning

Brett Daley

Martha White

Christopher Amato

Marlos C Machado

2023/7/3

Online real-time recurrent learning using sparse connections and selective learning

arXiv preprint arXiv:2302.05326

Khurram Javed

Haseeb Shah

Rich Sutton

Martha White

2023/1/20

Exploiting action impact regularity and exogenous state variables for offline reinforcement learning

Journal of Artificial Intelligence Research

Vincent Liu

James R Wright

Martha White

2023/5/11

Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks

Journal of Machine Learning Research

Khurram Javed

Haseeb Shah

Richard S Sutton

Martha White

2023

Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments

Vincent Liu

Yash Chandak

Philip Thomas

Martha White

2023/4/11

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

Goal-Space Planning with Subgoal Models

arXiv preprint arXiv:2206.02902

Chunlok Lo

Gabor Mihucz

Adam White

Farzane Aminmansour

Martha White

2022/6/6

Intermediate Machine Learning

University of Alberta course notes

Martha White

2022/12/8

See List of Professors in Martha White University(University of Alberta)

Co-Authors

H-index: 63
Dale Schuurmans

Dale Schuurmans

University of Alberta

H-index: 32
Yaoliang Yu

Yaoliang Yu

University of Waterloo

H-index: 31
Philip Thomas

Philip Thomas

University of Massachusetts Amherst

H-index: 18
Alona Fyshe

Alona Fyshe

University of Alberta

H-index: 16
A. Rupam Mahmood

A. Rupam Mahmood

University of Alberta

H-index: 8
Andrew Patterson

Andrew Patterson

University of Alberta

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