Alexander Dockhorn

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 42

Top Topics

Multiobjective Genetic Algorithm

Top Venues

IEEE Comput. Intell. Mag.

Publications

Pau-Choo Chung, Alexander Dockhorn, Jen-Wei Huang
Guest Editorial: AI-eXplained (Part II) [Guest Editorial]. IEEE Comput. Intell. Mag. 19 (1) (2024)
Daan Apeldoorn, Alexander Dockhorn, Torsten Panholzer
AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. GECCO Companion (2024)
Linjie Xu, Zichuan Liu, Alexander Dockhorn, Diego Perez Liebana, Jinyu Wang, Lei Song, Jiang Bian
Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning. CoRR (2024)
Christopher Olson, Lars Wagner, Alexander Dockhorn
Evolutionary Optimization of Baba Is You Agents. CEC (2023)
Alexander Dockhorn, Martin Kirst, Sanaz Mostaghim, Martin Wieczorek, Heiner Zille
Evolutionary Algorithm for Parameter Optimization of Context-Steering Agents. IEEE Trans. Games 15 (1) (2023)
Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer
AutoRL Hyperparameter Landscapes. AutoML (2023)
Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer
AutoRL Hyperparameter Landscapes. CoRR (2023)
Pau-Choo Chung, Alexander Dockhorn, Jen-Wei Huang
AI-Explained (Part I) [Guest Editorial]. IEEE Comput. Intell. Mag. 18 (4) (2023)
Linjie Xu, Alexander Dockhorn, Diego Perez Liebana
Elastic Monte Carlo Tree Search. IEEE Trans. Games 15 (4) (2023)
Chang-Shing Lee, Mei-Hui Wang, Chih-Yu Chen, Fu-Jie Yang, Alexander Dockhorn
Genetic Assessment Agent for High-School Student and Machine Co-Learning Model Construction on Computational Intelligence Experience. CEC (2023)
Lars Wagner, Christopher Olson, Alexander Dockhorn
Generalizations of Steering - A Modular Design. CoG (2022)
Alexander Dockhorn, Simon Lucas
Choosing Representation, Mutation, and Crossover in Genetic Algorithms. IEEE Comput. Intell. Mag. 17 (4) (2022)
Linjie Xu, Jorge Hurtado Grueso, Dominik Jeurissen, Diego Perez Liebana, Alexander Dockhorn
Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing. CoRR (2022)
Linjie Xu, Jorge Hurtado Grueso, Dominic Jeurissen, Diego Perez Liebana, Alexander Dockhorn
Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing. CoG (2022)
Alexander Dockhorn, Sanaz Mostaghim, Martin Kirst, Martin Zettwitz
Multi-Objective Optimization and Decision-Making in Context Steering. CoG (2021)
Diego Pérez-Liébana, Cristina Guerrero-Romero, Alexander Dockhorn, Linjie Xu, Jorge Hurtado Grueso, Dominik Jeurissen
Generating Diverse and Competitive Play-Styles for Strategy Games. CoG (2021)
Diego Pérez-Liébana, Cristina Guerrero-Romero, Alexander Dockhorn, Dominik Jeurissen, Linjie Xu
Generating Diverse and Competitive Play-Styles for Strategy Games. CoRR (2021)
Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana
Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing. CoG (2021)
Daan Apeldoorn, Alexander Dockhorn
Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning. IEEE Trans. Games 13 (3) (2021)
Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana
Portfolio Search and Optimization for General Strategy Game-Playing. CoRR (2021)
Alexander Dockhorn, Rudolf Kruse
Modellheuristiken für effizientes forward model learning. Autom. 69 (10) (2021)
Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana
Portfolio Search and Optimization for General Strategy Game-Playing. CEC (2021)
Alexander Dockhorn, Simon M. Lucas
Local Forward Model Learning for GVGAI Games. CoG (2020)
Diego Perez Liebana, Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen
The Design Of "Stratega": A General Strategy Games Framework. CoRR (2020)
Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raúl Montoliu, Diego Perez Liebana
Design and Implementation of TAG: A Tabletop Games Framework. CoRR (2020)
Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Diego Perez Liebana
STRATEGA: A General Strategy Games Framework. AIIDE Workshops (2020)
Alexander Dockhorn, Rudolf Kruse
Predicting Cards Using a Fuzzy Multiset Clustering of Decks. Int. J. Comput. Intell. Syst. 13 (1) (2020)
Alexander Dockhorn, Rudolf Kruse
Forward Model Learning for Motion Control Tasks. IEEE Conf. on Intelligent Systems (2020)
Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raúl Montoliu, Diego Perez Liebana
TAG: A Tabletop Games Framework. AIIDE Workshops (2020)
Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana
Learning Local Forward Models on Unforgiving Games. CoRR (2019)
Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoRR (2019)
Alexander Dockhorn, Tony Schwensfeier, Rudolf Kruse
Fuzzy Multiset Clustering for Metagame Analysis. EUSFLAT Conf. (2019)
Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana
Learning Local Forward Models on Unforgiving Games. CoG (2019)
Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoG (2019)
Alexander Dockhorn, Sanaz Mostaghim
Introducing the Hearthstone-AI Competition. CoRR (2019)
Alexander Dockhorn, Tim Tippelt, Rudolf Kruse
Model Decomposition for Forward Model Approximation. SSCI (2018)
Alexander Dockhorn, Daan Apeldoorn
Forward Model Approximation for General Video Game Learning. CIG (2018)
Alexander Dockhorn, Max Frick, Ünal Akkaya, Rudolf Kruse
Predicting Opponent Moves for Improving Hearthstone AI. IPMU (2) (2018)
Alexander Dockhorn, Christoph Doell, Matthias Hewelt, Rudolf Kruse
A decision heuristic for Monte Carlo tree search doppelkopf agents. SSCI (2017)
Alexander Dockhorn, Rudolf Kruse
Combining cooperative and adversarial coevolution in the context of pac-man. CIG (2017)
Tim Sabsch, Christian Braune, Alexander Dockhorn, Rudolf Kruse
Using a multiobjective genetic algorithm for curve approximation. SSCI (2017)
Alexander Dockhorn, Christian Braune, Rudolf Kruse
Variable density based clustering. SSCI (2016)
Pascal Held, Alexander Dockhorn, Benjamin Krause, Rudolf Kruse
Clustering Social Networks Using Competing Ant Hives. ENIC (2015)
Pascal Held, Alexander Dockhorn, Rudolf Kruse
On Merging and Dividing Social Graphs. J. Artif. Intell. Soft Comput. Res. 5 (1) (2015)
Alexander Dockhorn, Christian Braune, Rudolf Kruse
An Alternating Optimization Approach Based on Hierarchical Adaptations of DBSCAN. SSCI (2015)
Pascal Held, Alexander Dockhorn, Rudolf Kruse
Generating Events for Dynamic Social Network Simulations. IPMU (2) (2014)
Pascal Held, Alexander Dockhorn, Rudolf Kruse
On merging and dividing of Barabási-Albert-graphs. EALS (2014)