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Mark Winands

Mark Winands

Universiteit Maastricht

H-index: 29

Europe-Netherlands

Contact Mark Winands

About Mark Winands

Mark Winands, With an exceptional h-index of 29 and a recent h-index of 18 (since 2020), a distinguished researcher at Universiteit Maastricht, specializes in the field of kunstmatige intelligentie.

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

Scheduling Single AGV in Blocking Flow-Shop with Identical Jobs

Rankings and ratings

Looking back, looking forward

Explainable Search: An Exploratory Study in SameGame

Proof Number Based Monte-Carlo Tree Search

The Intelligent, the Artificial, and the Random

Monte-Carlo Tree-Search for Leveraging Performance of Blackbox Job-Shop Scheduling Heuristics

Linguistic Summaries as Explanation Mechanism for Classification Problems

Mark Winands Information

University

Position

___

Citations(all)

3539

Citations(since 2020)

1435

Cited By

2617

hIndex(all)

29

hIndex(since 2020)

18

i10Index(all)

73

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Mark Winands Skills & Research Interests

kunstmatige intelligentie

Top articles of Mark Winands

Scheduling Single AGV in Blocking Flow-Shop with Identical Jobs

2024/2

Matúš Mihalák
Matúš Mihalák

H-Index: 14

Frank Thuijsman
Frank Thuijsman

H-Index: 10

Rankings and ratings

ICGA Journal

2023/11/7

Tristan Cazenave
Tristan Cazenave

H-Index: 16

Mark Winands
Mark Winands

H-Index: 19

Looking back, looking forward

Educational Studies

2018/1/2

Roland Sintos Coloma
Roland Sintos Coloma

H-Index: 12

Explainable Search: An Exploratory Study in SameGame

2023/8/21

Anna Wilbik
Anna Wilbik

H-Index: 11

Proof Number Based Monte-Carlo Tree Search

arXiv preprint arXiv:2303.09449

2023/3/16

Jakub Kowalski
Jakub Kowalski

H-Index: 7

The Intelligent, the Artificial, and the Random

2022/12/16

Mark Winands
Mark Winands

H-Index: 19

Monte-Carlo Tree-Search for Leveraging Performance of Blackbox Job-Shop Scheduling Heuristics

arXiv preprint arXiv:2212.07543

2022/12/14

Matúš Mihalák
Matúš Mihalák

H-Index: 14

Linguistic Summaries as Explanation Mechanism for Classification Problems

2022/11

Anna Wilbik
Anna Wilbik

H-Index: 11

Combining Monte-Carlo Tree Search with Proof-Number Search

2022/8/21

Cameron Browne
Cameron Browne

H-Index: 12

Split Moves for Monte-Carlo Tree Search

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Jakub Kowalski
Jakub Kowalski

H-Index: 7

Wojciech Pawlik
Wojciech Pawlik

H-Index: 0

Marek Szykuła
Marek Szykuła

H-Index: 11

Monte Carlo Tree Search as an intelligent search tool in structural design problems

Engineering with Computers

2022

Leonardo Rossi
Leonardo Rossi

H-Index: 2

Analysis of the Impact of Randomization of Search-Control Parameters in Monte-Carlo Tree Search

Journal of Artificial Intelligence Research

2021/11/8

The Story of Monte-Carlo Tree Search

2021/10

Monte Carlo Search

2021

Tristan Cazenave
Tristan Cazenave

H-Index: 16

Mark Winands
Mark Winands

H-Index: 19

A tribute to Guy Haworth

ICGA Journal

2021

Jaap Van Den Herik
Jaap Van Den Herik

H-Index: 22

Mark Winands
Mark Winands

H-Index: 19

Adaptive General Search Framework for Games and Beyond

2021

Automatic Goal Discovery in Subgoal Monte Carlo Tree Search

2021/8/17

Diego Perez-Liebana
Diego Perez-Liebana

H-Index: 24

Enhancing Playout Policy Adaptation for General Game Playing

2020/7/12

Tristan Cazenave
Tristan Cazenave

H-Index: 16

Self-adaptive monte-carlo tree search in general game playing

IEEE Transactions on Games

2018/12/3

Jialin Liu
Jialin Liu

H-Index: 3

Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing

2020/5/7

See List of Professors in Mark Winands University(Universiteit Maastricht)

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