Tue Herlau

Tue Herlau

Danmarks Tekniske Universitet

H-index: 10

Europe-Denmark

About Tue Herlau

Tue Herlau, With an exceptional h-index of 10 and a recent h-index of 6 (since 2020), a distinguished researcher at Danmarks Tekniske Universitet, specializes in the field of Machine Learning.

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

Sequential decision making

EXERCISE 5 Direct methods and control by optimization

EXERCISE 13 Q-learning and deep-Q learning

02565 Exam Instructions Version 0.1

EXERCISE 10 Monte-carlo methods and TD learning

EXERCISE 7 Linearization and iterative LQR

Adaptive Split-Merge Sampling of Dirichlet Mixture Models

Unitgrade: A minimal open-source e-assessment framework

Tue Herlau Information

University

Position

___

Citations(all)

244

Citations(since 2020)

118

Cited By

172

hIndex(all)

10

hIndex(since 2020)

6

i10Index(all)

10

i10Index(since 2020)

4

Email

University Profile Page

Danmarks Tekniske Universitet

Google Scholar

View Google Scholar Profile

Tue Herlau Skills & Research Interests

Machine Learning

Top articles of Tue Herlau

Title

Journal

Author(s)

Publication Date

Sequential decision making

Babita Goyal

2012/5/3

EXERCISE 5 Direct methods and control by optimization

Tue Herlau

2024/3/1

EXERCISE 13 Q-learning and deep-Q learning

Tue Herlau

2024/5/3

02565 Exam Instructions Version 0.1

Tue Herlau

2024/4/26

EXERCISE 10 Monte-carlo methods and TD learning

Tue Herlau

2024/4/12

EXERCISE 7 Linearization and iterative LQR

Tue Herlau

2024/3/15

Adaptive Split-Merge Sampling of Dirichlet Mixture Models

Authorea Preprints

Tue Herlau

2023/10/30

Unitgrade: A minimal open-source e-assessment framework

Tue Herlau

Jacob Lemvig

Michael Clasen Linderoth

2023/3/20

Probability trees and the value of a single intervention

arXiv preprint arXiv:2205.08779

Tue Herlau

2022/5/18

Moral reinforcement learning using actual causation

Tue Herlau

2022/3/18

Uncovering Cortical Units of Processing From Multi-Layered Connectomes

Frontiers in Neuroscience

Kristoffer Jon Albers

Matthew G Liptrot

Karen Sandø Ambrosen

Rasmus Røge

Tue Herlau

...

2022/3/10

Bayesian dropout

Procedia Computer Science

Tue Herlau

Mikkel N Schmidt

Morten Mørup

2022/1/1

Active learning of causal probability trees

Tue Herlau

2022/12/12

Reinforcement learning of causal variables using mediation analysis

Proceedings of the AAAI Conference on Artificial Intelligence

Tue Herlau

Rasmus Larsen

2022/6/28

See List of Professors in Tue Herlau University(Danmarks Tekniske Universitet)