Alexander Dockhorn

According to our database, Alexander Dockhorn authored at least 43 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Guest Editorial: AI-eXplained (Part II) [Guest Editorial].

Pau-Choo Chung, Alexander Dockhorn, Jen-Wei Huang

IEEE Comput. Intell. Mag., February, 2024

2023

Elastic Monte Carlo Tree Search.

Linjie Xu, Alexander Dockhorn, Diego Perez Liebana

IEEE Trans. Games, December, 2023

AI-Explained (Part I) [Guest Editorial].

Pau-Choo Chung, Alexander Dockhorn, Jen-Wei Huang

IEEE Comput. Intell. Mag., November, 2023

Evolutionary Algorithm for Parameter Optimization of Context-Steering Agents.

Alexander Dockhorn, Martin Kirst, Sanaz Mostaghim, Martin Wieczorek, Heiner Zille

IEEE Trans. Games, March, 2023

Evolutionary Optimization of Baba Is You Agents.

Christopher Olson, Lars Wagner, Alexander Dockhorn

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Genetic Assessment Agent for High-School Student and Machine Co-Learning Model Construction on Computational Intelligence Experience.

Chang-Shing Lee, Mei-Hui Wang, Chih-Yu Chen, Fu-Jie Yang, Alexander Dockhorn

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

AutoRL Hyperparameter Landscapes.

Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

Choosing Representation, Mutation, and Crossover in Genetic Algorithms.

Alexander Dockhorn, Simon Lucas

IEEE Comput. Intell. Mag., 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

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Generalizations of Steering - A Modular Design.

Lars Wagner, Christopher Olson, Alexander Dockhorn

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Balancing Exploration and Exploitation in Forward Model Learning.

Alexander Dockhorn, Rudolf Kruse

Proceedings of the Advances in Intelligent Systems Research and Innovation, 2022

2021

Association Rule Mining for Unknown Video Games.

Alexander Dockhorn, Chris Saxton, Rudolf Kruse

Proceedings of the Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications, 2021

Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning.

Daan Apeldoorn, Alexander Dockhorn

IEEE Trans. Games, 2021

Generating Diverse and Competitive Play-Styles for Strategy Games.

Diego Pérez-Liébana, Cristina Guerrero-Romero, Alexander Dockhorn, Dominik Jeurissen, Linjie Xu

CoRR, 2021

Modellheuristiken für effizientes forward model learning.

Alexander Dockhorn, Rudolf Kruse

Autom., 2021

Generating Diverse and Competitive Play-Styles for Strategy Games.

Diego Pérez-Liébana, Cristina Guerrero-Romero, Alexander Dockhorn, Linjie Xu, Jorge Hurtado Grueso, Dominik Jeurissen

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Multi-Objective Optimization and Decision-Making in Context Steering.

Alexander Dockhorn, Sanaz Mostaghim, Martin Kirst, Martin Zettwitz

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing.

Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Portfolio Search and Optimization for General Strategy Game-Playing.

Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Vorhersagebasierte Suche für autonomes Spielen.

Alexander Dockhorn

Proceedings of the Ausgezeichnete Informatikdissertationen 2020., 2020

Predicting Cards Using a Fuzzy Multiset Clustering of Decks.

Alexander Dockhorn, Rudolf Kruse

Int. J. Comput. Intell. Syst., 2020

Design and Implementation of TAG: A Tabletop Games Framework.

Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raúl Montoliu, Diego Perez Liebana

CoRR, 2020

The Design Of "Stratega": A General Strategy Games Framework.

Diego Perez Liebana, Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen

CoRR, 2020

Forward Model Learning for Motion Control Tasks.

Alexander Dockhorn, Rudolf Kruse

Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

Local Forward Model Learning for GVGAI Games.

Alexander Dockhorn, Simon M. Lucas

Proceedings of the IEEE Conference on Games, 2020

TAG: A Tabletop Games Framework.

Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raúl Montoliu, Diego Perez Liebana

Proceedings of the Joint Proceedings of the AIIDE 2020 Workshops co-located with 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2020), 2020

STRATEGA: A General Strategy Games Framework.

Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Diego Perez Liebana

Proceedings of the Joint Proceedings of the AIIDE 2020 Workshops co-located with 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2020), 2020

2019

Introducing the Hearthstone-AI Competition.

Alexander Dockhorn, Sanaz Mostaghim

CoRR, 2019

Fuzzy Multiset Clustering for Metagame Analysis.

Alexander Dockhorn, Tony Schwensfeier, Rudolf Kruse

Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019

A Local Approach to Forward Model Learning: Results on the Game of Life Game.

Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse

Proceedings of the IEEE Conference on Games, 2019

Learning Local Forward Models on Unforgiving Games.

Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana

Proceedings of the IEEE Conference on Games, 2019

2018

Model Decomposition for Forward Model Approximation.

Alexander Dockhorn, Tim Tippelt, Rudolf Kruse

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Predicting Opponent Moves for Improving Hearthstone AI.

Alexander Dockhorn, Max Frick, Ünal Akkaya, Rudolf Kruse

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

Forward Model Approximation for General Video Game Learning.

Alexander Dockhorn, Daan Apeldoorn

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017

Using a multiobjective genetic algorithm for curve approximation.

Tim Sabsch, Christian Braune, Alexander Dockhorn, Rudolf Kruse

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A decision heuristic for Monte Carlo tree search doppelkopf agents.

Alexander Dockhorn, Christoph Doell, Matthias Hewelt, Rudolf Kruse

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Combining cooperative and adversarial coevolution in the context of pac-man.

Alexander Dockhorn, Rudolf Kruse

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2017

2016

Variable density based clustering.

Alexander Dockhorn, Christian Braune, Rudolf Kruse

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015

On Merging and Dividing Social Graphs.

Pascal Held, Alexander Dockhorn, Rudolf Kruse

J. Artif. Intell. Soft Comput. Res., 2015

An Alternating Optimization Approach Based on Hierarchical Adaptations of DBSCAN.

Alexander Dockhorn, Christian Braune, Rudolf Kruse

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Clustering Social Networks Using Competing Ant Hives.

Pascal Held, Alexander Dockhorn, Benjamin Krause, Rudolf Kruse

Proceedings of the 2015 Second European Network Intelligence Conference, 2015

2014

Generating Events for Dynamic Social Network Simulations.

Pascal Held, Alexander Dockhorn, Rudolf Kruse

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

On merging and dividing of Barabási-Albert-graphs.

Pascal Held, Alexander Dockhorn, Rudolf Kruse

Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014