Diego Perez-Liebana

Diego Perez-Liebana

Queen Mary University of London

H-index: 34

Europe-United Kingdom

About Diego Perez-Liebana

Diego Perez-Liebana, With an exceptional h-index of 34 and a recent h-index of 24 (since 2020), a distinguished researcher at Queen Mary University of London, specializes in the field of Artificial Intelligence, Games, Tree Search, Evolutionary Computation.

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

Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning

Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents

Beyond Playing to Win: Creating a Team of Agents with Distinct Behaviours for Automated Gameplay

A case study in AI-assisted board game design

TotalBotWar: An Innovative AI Challenge and Competition for Pseudo Real-time Multi-action games

PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games

Human-Game AI Interaction: Report from Dagstuhl Seminar 22251

Balancing Wargames through Predicting Unit Point Costs

Diego Perez-Liebana Information

University

Position

___

Citations(all)

7184

Citations(since 2020)

4535

Cited By

4684

hIndex(all)

34

hIndex(since 2020)

24

i10Index(all)

76

i10Index(since 2020)

66

Email

University Profile Page

Queen Mary University of London

Google Scholar

View Google Scholar Profile

Diego Perez-Liebana Skills & Research Interests

Artificial Intelligence

Games

Tree Search

Evolutionary Computation

Top articles of Diego Perez-Liebana

Title

Journal

Author(s)

Publication Date

Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning

arXiv preprint arXiv:2404.09715

Linjie Xu

Zichuan Liu

Alexander Dockhorn

Diego Perez-Liebana

Jinyu Wang

...

2024/4/15

Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents

arXiv preprint arXiv:2403.00690

Dominik Jeurissen

Diego Perez-Liebana

Jeremy Gow

Duygu Cakmak

James Kwan

2024/3/1

Beyond Playing to Win: Creating a Team of Agents with Distinct Behaviours for Automated Gameplay

IEEE Transactions on Games

Cristina Guerrero-Romero

Simon Lucas

Diego Perez-Liebana

2023/2/2

A case study in AI-assisted board game design

James Goodman

Alan Wallat

Diego Perez-Liebana

Simon Lucas

2023/8/21

TotalBotWar: An Innovative AI Challenge and Competition for Pseudo Real-time Multi-action games

Raúl Montoliu

Alejandro Estaben

César Díaz

Sergi Fuster

Diego Pérez-Liebana

2023

PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games

Martin Balla

George EM Long

Dominik Jeurissen

James Goodman

Raluca D Gaina

...

2023/8/21

Human-Game AI Interaction: Report from Dagstuhl Seminar 22251

Daniel Ashlock

Setareh Maghsudi

Diego Perez Liebana

Pieter Spronck

Manuel Eberhardinger

2023

Balancing Wargames through Predicting Unit Point Costs

George EM Long

Diego Perez-Liebana

Spyridon Samothrakis

2023/8/21

Elastic Monte Carlo Tree Search

IEEE Transactions on Games

Linjie Xu

Alexander Dockhorn

Diego Perez-Liebana

2023/6/2

Following the leader in multiplayer tabletop games

James Goodman

Diego Perez-Liébana

Simon Lucas

2023/4/12

Predictive Models and Monte Carlo Tree Search: A Pipeline for Believable Agents

Cristiana Pacheco

Diego Perez-Liebana

2023/8/21

MultiTree MCTS in Tabletop Games

James Goodman

Diego Perez-Liebana

Simon Lucas

2022/8/21

Task Relabelling for Multi-task Transfer using Successor Features

Martin Balla

Diego Perez-Liebana

2022/8/21

Towards applicable state abstractions: a preview in strategy games

The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM)

Linjie Xu

Diego Perez-Liebana

Alexander Dockhorn

2022

Making Something Out of Nothing: Monte Carlo Graph Search in Sparse Reward Environments

Marko Tot

Michelangelo Conserva

Sam Devlin

Diego Perez Liebana

2022

Elastic monte carlo tree search with state abstraction for strategy game playing

Linjie Xu

Jorge Hurtado-Grueso

Dominic Jeurissen

Diego Perez Liebana

Alexander Dockhorn

2022/8/21

Turning Zeroes into Non-Zeroes: Sample Efficient Exploration with Monte Carlo Graph Search

Marko Tot

Michelangelo Conserva

Diego Perez Liebana

Sam Devlin

2022/8/21

Generating diverse and competitive play-styles for strategy games

Diego Perez-Liebana

Cristina Guerrero-Romero

Alexander Dockhorn

Linjie Xu

Jorge Hurtado

...

2021/8/17

Automatic Goal Discovery in Subgoal Monte Carlo Tree Search

Dominik Jeurissen

Mark HM Winands

Chiara F Sironi

Diego Perez-Liebana

2021/8/17

TAG: Terraforming mars

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Raluca D Gaina

James Goodman

Diego Perez-Liebana

2021/10/4

See List of Professors in Diego Perez-Liebana University(Queen Mary University of London)

Co-Authors

H-index: 77
Julian Togelius

Julian Togelius

New York University

H-index: 49
Simon Lucas

Simon Lucas

Queen Mary University of London

H-index: 49
Michael O'Neill

Michael O'Neill

University College Dublin

H-index: 44
Mike Preuss

Mike Preuss

Universiteit Leiden

H-index: 33
Sanaz Mostaghim

Sanaz Mostaghim

Otto-von-Guericke-Universität Magdeburg

H-index: 33
Anthony Brabazon

Anthony Brabazon

University College Dublin

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