default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAlexander Dockhorn
Person information
- affiliation: Leibniz University Hannover, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-17 21:34 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
