Mike Preuss

Mike Preuss

Universiteit Leiden

H-index: 44

Europe-Netherlands

About Mike Preuss

Mike Preuss, With an exceptional h-index of 44 and a recent h-index of 29 (since 2020), a distinguished researcher at Universiteit Leiden, specializes in the field of Artificial Intelligence, Optimization, Games, Social Media Computing.

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

Editorial for the Special Issue on Reproducibility

AlphaFold meets de novo drug design: leveraging structural protein information in multi-target molecular generative models

Generate What You Can Make: Achieving in-house synthesizability with readily available resources in de novo drug design

QuestVille: procedural quest generation using NLP models

Two-Memory Reinforcement Learning

Storyworld: Procedural quest generation rooted in variety & believability

Continuous episodic control

Memory Gym: Partially Observable Challenges to Memory-Based Agents in Endless Episodes

Mike Preuss Information

University

Position

___

Citations(all)

8846

Citations(since 2020)

4821

Cited By

5978

hIndex(all)

44

hIndex(since 2020)

29

i10Index(all)

130

i10Index(since 2020)

82

Email

University Profile Page

Universiteit Leiden

Google Scholar

View Google Scholar Profile

Mike Preuss Skills & Research Interests

Artificial Intelligence

Optimization

Games

Social Media Computing

Top articles of Mike Preuss

Title

Journal

Author(s)

Publication Date

Editorial for the Special Issue on Reproducibility

Manuel López-Ibáñez

Luís Paquete

Mike Preuss

2024/3/1

AlphaFold meets de novo drug design: leveraging structural protein information in multi-target molecular generative models

Andrius Bernatavicius

Martin Šícho

Antonius Janssen

Alan Kai Hassen

Mike Preuss

...

2024/4/18

Generate What You Can Make: Achieving in-house synthesizability with readily available resources in de novo drug design

Alan Kai Hassen

Martin Sicho

Yorick J van Aalst

Mirjam CW Huizenga

Darcy NR Reynolds

...

2024/3/5

QuestVille: procedural quest generation using NLP models

Suzan Al-Nassar

Anthonie Schaap

Michael Van Der Zwart

Mike Preuss

Marcello A Gómez-Maureira

2023/4/12

Two-Memory Reinforcement Learning

Zhao Yang

Thomas M Moerland

Mike Preuss

Aske Plaat

2023/8/21

Storyworld: Procedural quest generation rooted in variety & believability

Vincent L Prins

Jelmer Prins

Mike Preuss

Marcello A Gómez-Maureira

2023/4/12

Continuous episodic control

Zhao Yang

Thomas M Moerland

Mike Preuss

Aske Plaat

2023/8/21

Memory Gym: Partially Observable Challenges to Memory-Based Agents in Endless Episodes

arXiv preprint arXiv:2309.17207

Marco Pleines

Matthias Pallasch

Frank Zimmer

Mike Preuss

2023/9/29

Designing for Playfulness in Human-AI Authoring Tools

Antonios Liapis

Christian Guckelsberger

Jichen Zhu

Casper Harteveld

Simone Kriglstein

...

2023/4/12

Models matter: The impact of single-step retrosynthesis on synthesis planning

arXiv preprint arXiv:2308.05522

Paula Torren-Peraire

Alan Kai Hassen

Samuel Genheden

Jonas Verhoeven

Djork-Arne Clevert

...

2023/8/10

High-accuracy model-based reinforcement learning, a survey

Artificial Intelligence Review

Aske Plaat

Walter Kosters

Mike Preuss

2023/9

Analysis of hyper-parameters for AlphaZero-like deep reinforcement learning

International Journal of Information Technology & Decision Making

Hui Wang

Michael Emmerich

Mike Preuss

Aske Plaat

2023/3/24

DBCC2: an improved difficulty-based cooperative co-evolution for many-modal optimization

Complex & Intelligent Systems

Yingying Qiao

Wenjian Luo

Xin Lin

Peilan Xu

Mike Preuss

2023/8

Chatter Generation through Language Models

Matthias Müller-Brockhausen

Giulio Barbero

Mike Preuss

2023/8/21

Exploratory landscape analysis

Pascal Kerschke

Mike Preuss

2023/7/15

Believable Minecraft Settlements by Means of Decentralised Iterative Planning

Arthur Van Der Staaij

Jelmer Prins

Vincent L Prins

Julian Poelsma

Thera Smit

...

2023/8/21

Social Influence Analysis (SIA) in Online Social Networks

Leszkiewicz Agata

Bucur Doina

Grimme Christian

Michalski Radoslaw

Clever Lena

...

2022

On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer

Marco Pleines

Konstantin Ramthun

Yannik Wegener

Hendrik Meyer

Matthias Pallasch

...

2022/8/21

First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation

arXiv preprint arXiv:2212.03251

Zhao Yang

Thomas M Moerland

Mike Preuss

Aske Plaat

2022/12/6

Transfer learning and curriculum learning in Sokoban

Zhao Yang

Mike Preuss

Aske Plaat

2022

See List of Professors in Mike Preuss University(Universiteit Leiden)

Co-Authors

H-index: 77
Julian Togelius

Julian Togelius

New York University

H-index: 62
Georgios N. Yannakakis

Georgios N. Yannakakis

University of Malta

H-index: 45
Bernd Bischl

Bernd Bischl

Ludwig-Maximilians-Universität München

H-index: 42
Michael T.M. Emmerich (Dr. rer. nat.)

Michael T.M. Emmerich (Dr. rer. nat.)

Universiteit Leiden

H-index: 39
Santiago Ontañón

Santiago Ontañón

Drexel University

H-index: 24
Catalin Stoean

Catalin Stoean

Universitatea din Craiova

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