Michael Luck

Michael Luck

King's College London

H-index: 56

Europe-United Kingdom

About Michael Luck

Michael Luck, With an exceptional h-index of 56 and a recent h-index of 18 (since 2020), a distinguished researcher at King's College London, specializes in the field of Intelligent Agents, Autonomy, Multiagent Systems, Multi-Agent Systems, Artificial Intelligence.

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

Visual Analytics for Fine-grained Text Classification Models and Datasets

Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking

Multi-user norm consensus

Imitation Learning: A Survey of Learning Methods, Environments and Metrics

Preferences for AI Explanations Based on Cognitive Style and Socio-Cultural Factors

SemLa: A Visual Analysis System for Fine-Grained Text Classification

Resolving social dilemmas through reward transfer commitments

Resolving social dilemmas with minimal reward transfer

Michael Luck Information

University

Position

Department of Informatics

Citations(all)

14305

Citations(since 2020)

1631

Cited By

13263

hIndex(all)

56

hIndex(since 2020)

18

i10Index(all)

203

i10Index(since 2020)

43

Email

University Profile Page

King's College London

Google Scholar

View Google Scholar Profile

Michael Luck Skills & Research Interests

Intelligent Agents

Autonomy

Multiagent Systems

Multi-Agent Systems

Artificial Intelligence

Top articles of Michael Luck

Title

Journal

Author(s)

Publication Date

Visual Analytics for Fine-grained Text Classification Models and Datasets

arXiv preprint arXiv:2403.15492

Munkhtulga Battogtokh

Yiwen Xing

Cosmin Davidescu

Alfie Abdul-Rahman

Michael Luck

...

2024/3/21

Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking

arXiv preprint arXiv:2403.00550

Nathan Gavenski

Michael Luck

Odinaldo Rodrigues

2024/3/1

Multi-user norm consensus

M Serramia Amoros

N Criado

M Luck

2024/12/21

Imitation Learning: A Survey of Learning Methods, Environments and Metrics

arXiv preprint arXiv:2404.19456

Nathan Gavenski

Odinaldo Rodrigues

Michael Luck

2024/4/30

Preferences for AI Explanations Based on Cognitive Style and Socio-Cultural Factors

Proceedings of the ACM on Human-Computer Interaction

Hana Kopecka

Jose Such

Michael Luck

2024/4/23

SemLa: A Visual Analysis System for Fine-Grained Text Classification

Proceedings of the AAAI Conference on Artificial Intelligence

Munkhtulga Battogtokh

Cosmin Davidescu

Michael Luck

Rita Borgo

2024/3/24

Resolving social dilemmas through reward transfer commitments

Proc. Adaptive and Learning Agents Workshop (ALA2023) 29–30 May 2023, London, UK

Richard Willis

Michael Luck

2023/5

Resolving social dilemmas with minimal reward transfer

arXiv preprint arXiv:2310.12928

Richard Willis

Yali Du

Joel Z Leibo

Michael Luck

2023/10/19

Predicting Privacy Preferences for Smart Devices as Norms

arXiv preprint arXiv:2302.10650

Marc Serramia

William Seymour

Natalia Criado

Michael Luck

2023/2/21

Simple Framework for Interpretable Fine-Grained Text Classification

Munkhtulga Battogtokh

Michael Luck

Cosmin Davidescu

Rita Borgo

2023/9/30

Finding Sparse Initialisations using Neuroevolutionary Ticket Search (NeTS)

Alex Jackson

Nandi Schoots

Amin Ahantab

Michael Luck

Elizabeth Black

2023/7/24

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

arXiv preprint arXiv:2312.13010

Dong Huang

Qingwen Bu

Jie M Zhang

Michael Luck

Heming Cui

2023/12/20

Approaching AI: A Practical Guide to Understanding and Using AI for HCI

Maria Karam

Michael Luck

2023/7/9

Modelling Moral Debate using Reason-based Abstract Argumentation Theory

Alex Jackson

Michael Luck

Elizabeth Black

2023/12/15

Neuroevolutionary Ticket Search—Finding Sparse, Trainable DNN Initialisations

Alex Jackson

Nandi Schoots

Michael Luck

Elizabeth Black

2023/5/5

Combining theory of mind and abductive reasoning in agent-oriented programming

Autonomous Agents and Multi-Agent Systems

Nieves Montes

Michael Luck

Nardine Osman

Odinaldo Rodrigues

Carles Sierra

2023/12

Reasoning and interaction for social artificial intelligence

AI Communications

Elizabeth Black

Martim Brandão

Oana Cocarascu

Bart De Keijzer

Yali Du

...

2022/1/1

Collaborative filtering to capture AI user’s preferences as norms

Marc Serramia

Natalia Criado

Michael Luck

2022/11/12

From Subsymbolic to Symbolic: A Blueprint for Investigation.

Joseph Pober

Michael Luck

Odinaldo Rodrigues

2022/7/29

Autonomous agents and multiagent systems: perspectives on 20 years of AAMAS

AI Matters

Ulle Endriss

Ann Nowé

Maria Gini

Victor Lesser

Michael Luck

...

2022/1/31

See List of Professors in Michael Luck University(King's College London)

Co-Authors

H-index: 134
Nick Jennings

Nick Jennings

Imperial College London

H-index: 57
Carlos José Pereira de Lucena

Carlos José Pereira de Lucena

Pontifícia Universidade Católica do Rio de Janeiro

H-index: 53
Luc Moreau

Luc Moreau

King's College London

H-index: 51
Peter McBurney

Peter McBurney

King's College

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