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ORCIDAlexander Dockhorn
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- affiliation: Leibniz University Hannover, Germany
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2020 – today
- 2024
[j9]Pau-Choo Chung
, Alexander Dockhorn, Jen-Wei Huang:
Guest Editorial: AI-eXplained (Part II) [Guest Editorial]. IEEE Comput. Intell. Mag. 19(1): 76-77 (2024)- [c34]Ronja Fuchs, Robin Gieseke, Alexander Dockhorn:
Personalized Dynamic Difficulty Adjustment Imitation Learning Meets Reinforcement Learning. CoG 2024: 1-2 - [c33]Mohit Jiwatode, Leon Schlecht, Alexander Dockhorn:
Online Optimization of Curriculum Learning Schedules using Evolutionary Optimization. CoG 2024: 1-8 - [c32]Carlo Nübel, Alexander Dockhorn, Sanaz Mostaghim:
Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies. CoG 2024: 1-4 - [c31]Mehmet Kayra Oguz, Alexander Dockhorn:
Markov Senior - Learning Markov Junior Grammars to Generate User-specified Content. CoG 2024: 1-8 - [c30]Linjie Xu, Diego Perez Liebana, Alexander Dockhorn:
Strategy Game-Playing with Size-Constrained State Abstraction. CoG 2024: 1-8 - [c29]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. CoG 2024: 1-8 - [c28]Daan Apeldoorn, Alexander Dockhorn, Torsten Panholzer:
AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. GECCO Companion 2024: 1-2 - [i15]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 abs/2404.09715 (2024) - [i14]Mehmet Kayra Oguz, Alexander Dockhorn:
Markov Senior - Learning Markov Junior Grammars to Generate User-specified Content. CoRR abs/2408.05959 (2024) - [i13]Carlo Nübel, Alexander Dockhorn, Sanaz Mostaghim:
Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies. CoRR abs/2408.05960 (2024) - [i12]Mohit Jiwatode, Leon Schlecht, Alexander Dockhorn:
Online Optimization of Curriculum Learning Schedules using Evolutionary Optimization. CoRR abs/2408.06068 (2024) - [i11]Linjie Xu, Diego Perez Liebana, Alexander Dockhorn:
Strategy Game-Playing with Size-Constrained State Abstraction. CoRR abs/2408.06202 (2024) - [i10]Ronja Fuchs, Robin Gieseke, Alexander Dockhorn:
Personalized Dynamic Difficulty Adjustment - Imitation Learning Meets Reinforcement Learning. CoRR abs/2408.06818 (2024) - 2023
- [j8]Pau-Choo Chung, Alexander Dockhorn, Jen-Wei Huang:
AI-Explained (Part I) [Guest Editorial]. IEEE Comput. Intell. Mag. 18(4): 58-59 (2023) - [j7]Alexander Dockhorn, Martin Kirst, Sanaz Mostaghim, Martin Wieczorek, Heiner Zille:
Evolutionary Algorithm for Parameter Optimization of Context-Steering Agents. IEEE Trans. Games 15(1): 26-35 (2023) - [j6]Linjie Xu, Alexander Dockhorn, Diego Perez Liebana:
Elastic Monte Carlo Tree Search. IEEE Trans. Games 15(4): 527-537 (2023) - [c27]Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer:
AutoRL Hyperparameter Landscapes. AutoML 2023: 13/1-27 - [c26]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: 1-8 - [c25]Christopher Olson, Lars Wagner, Alexander Dockhorn:
Evolutionary Optimization of Baba Is You Agents. CEC 2023: 1-8 - [i9]Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer:
AutoRL Hyperparameter Landscapes. CoRR abs/2304.02396 (2023) - 2022
- [j5]Alexander Dockhorn, Simon Lucas:
Choosing Representation, Mutation, and Crossover in Genetic Algorithms. IEEE Comput. Intell. Mag. 17(4): 52-53 (2022) - [c24]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: 369-376 - [c23]Lars Wagner, Christopher Olson, Alexander Dockhorn:
Generalizations of Steering - A Modular Design. CoG 2022: 580-583 - [p3]Alexander Dockhorn, Rudolf Kruse:
Balancing Exploration and Exploitation in Forward Model Learning. Advances in Intelligent Systems Research and Innovation 2022: 1-19 - [i8]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 abs/2205.15126 (2022) - 2021
- [j4]Alexander Dockhorn, Rudolf Kruse:
Modellheuristiken für effizientes forward model learning. Autom. 69(10): 848-857 (2021) - [j3]Daan Apeldoorn, Alexander Dockhorn:
Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning. IEEE Trans. Games 13(3): 249-262 (2021) - [c22]Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana:
Portfolio Search and Optimization for General Strategy Game-Playing. CEC 2021: 2085-2092 - [c21]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: 1-8 - [c20]Alexander Dockhorn, Sanaz Mostaghim, Martin Kirst, Martin Zettwitz:
Multi-Objective Optimization and Decision-Making in Context Steering. CoG 2021: 1-8 - [c19]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: 1-8 - [p2]Alexander Dockhorn, Chris Saxton, Rudolf Kruse:
Association Rule Mining for Unknown Video Games. Fuzzy Approaches for Soft Computing and Approximate Reasoning 2021: 257-270 - [i7]Diego Pérez-Liébana, Cristina Guerrero-Romero, Alexander Dockhorn, Dominik Jeurissen, Linjie Xu:
Generating Diverse and Competitive Play-Styles for Strategy Games. CoRR abs/2104.08641 (2021) - [i6]Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana:
Portfolio Search and Optimization for General Strategy Game-Playing. CoRR abs/2104.10429 (2021) - 2020
- [b1]Alexander Dockhorn:
Prediction-based search for autonomous game-playing. University of Halle, Germany, 2020 - [j2]Alexander Dockhorn, Rudolf Kruse:
Predicting Cards Using a Fuzzy Multiset Clustering of Decks. Int. J. Comput. Intell. Syst. 13(1): 1207-1217 (2020) - [c18]Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Diego Perez Liebana:
STRATEGA: A General Strategy Games Framework. AIIDE Workshops 2020 - [c17]Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raúl Montoliu, Diego Perez Liebana:
TAG: A Tabletop Games Framework. AIIDE Workshops 2020 - [c16]Alexander Dockhorn, Simon M. Lucas:
Local Forward Model Learning for GVGAI Games. CoG 2020: 716-723 - [c15]Alexander Dockhorn, Rudolf Kruse:
Forward Model Learning for Motion Control Tasks. IEEE Conf. on Intelligent Systems 2020: 1-5 - [p1]Alexander Dockhorn:
Vorhersagebasierte Suche für autonomes Spielen. Ausgezeichnete Informatikdissertationen 2020: 69-78 - [i5]Diego Perez Liebana, Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen:
The Design Of "Stratega": A General Strategy Games Framework. CoRR abs/2009.05643 (2020) - [i4]Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raúl Montoliu, Diego Perez Liebana:
Design and Implementation of TAG: A Tabletop Games Framework. CoRR abs/2009.12065 (2020)
2010 – 2019
- 2019
- [c14]Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana:
Learning Local Forward Models on Unforgiving Games. CoG 2019: 1-4 - [c13]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: 1-8 - [c12]Alexander Dockhorn, Tony Schwensfeier, Rudolf Kruse:
Fuzzy Multiset Clustering for Metagame Analysis. EUSFLAT Conf. 2019 - [i3]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 abs/1903.12508 (2019) - [i2]Alexander Dockhorn, Sanaz Mostaghim:
Introducing the Hearthstone-AI Competition. CoRR abs/1906.04238 (2019) - [i1]Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana:
Learning Local Forward Models on Unforgiving Games. CoRR abs/1909.00442 (2019) - 2018
- [c11]Alexander Dockhorn, Daan Apeldoorn:
Forward Model Approximation for General Video Game Learning. CIG 2018: 1-8 - [c10]Alexander Dockhorn, Max Frick, Ünal Akkaya, Rudolf Kruse:
Predicting Opponent Moves for Improving Hearthstone AI. IPMU (2) 2018: 621-632 - [c9]Alexander Dockhorn, Tim Tippelt, Rudolf Kruse:
Model Decomposition for Forward Model Approximation. SSCI 2018: 1751-1757 - 2017
- [c8]Alexander Dockhorn, Rudolf Kruse:
Combining cooperative and adversarial coevolution in the context of pac-man. CIG 2017: 60-67 - [c7]Alexander Dockhorn, Christoph Doell, Matthias Hewelt, Rudolf Kruse:
A decision heuristic for Monte Carlo tree search doppelkopf agents. SSCI 2017: 1-8 - [c6]Tim Sabsch, Christian Braune, Alexander Dockhorn, Rudolf Kruse:
Using a multiobjective genetic algorithm for curve approximation. SSCI 2017: 1-6 - 2016
- [c5]Alexander Dockhorn, Christian Braune, Rudolf Kruse:
Variable density based clustering. SSCI 2016: 1-8 - 2015
- [j1]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
On Merging and Dividing Social Graphs. J. Artif. Intell. Soft Comput. Res. 5(1): 23 (2015) - [c4]Pascal Held, Alexander Dockhorn, Benjamin Krause, Rudolf Kruse:
Clustering Social Networks Using Competing Ant Hives. ENIC 2015: 67-74 - [c3]Alexander Dockhorn, Christian Braune, Rudolf Kruse:
An Alternating Optimization Approach Based on Hierarchical Adaptations of DBSCAN. SSCI 2015: 749-755 - 2014
- [c2]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
On merging and dividing of Barabási-Albert-graphs. EALS 2014: 17-24 - [c1]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
Generating Events for Dynamic Social Network Simulations. IPMU (2) 2014: 46-55
Coauthor Index
aka: Diego Pérez-Liébana
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