OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Discovering Agent Behaviors Through Code Reuse: Examples From Half-Field Offense and Ms. Pac-Man
Stephen Kelly, Malcolm I. Heywood
IEEE Transactions on Games (2017) Vol. 10, Iss. 2, pp. 195-208
Closed Access | Times Cited: 14
Stephen Kelly, Malcolm I. Heywood
IEEE Transactions on Games (2017) Vol. 10, Iss. 2, pp. 195-208
Closed Access | Times Cited: 14
Showing 14 citing articles:
Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial
Stephen Kelly, Robert J. Smith, Malcolm I. Heywood
Genetic and evolutionary computation (2019), pp. 37-57
Closed Access | Times Cited: 18
Stephen Kelly, Robert J. Smith, Malcolm I. Heywood
Genetic and evolutionary computation (2019), pp. 37-57
Closed Access | Times Cited: 18
Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks
Stephen Kelly, Robert J. Smith, Malcolm I. Heywood, et al.
ACM Transactions on Evolutionary Learning and Optimization (2021) Vol. 1, Iss. 3, pp. 1-41
Closed Access | Times Cited: 14
Stephen Kelly, Robert J. Smith, Malcolm I. Heywood, et al.
ACM Transactions on Evolutionary Learning and Optimization (2021) Vol. 1, Iss. 3, pp. 1-41
Closed Access | Times Cited: 14
Evolving hierarchical memory-prediction machines in multi-task reinforcement learning
Stephen Kelly, Tatiana Voegerl, Wolfgang Banzhaf, et al.
Genetic Programming and Evolvable Machines (2021) Vol. 22, Iss. 4, pp. 573-605
Closed Access | Times Cited: 14
Stephen Kelly, Tatiana Voegerl, Wolfgang Banzhaf, et al.
Genetic Programming and Evolvable Machines (2021) Vol. 22, Iss. 4, pp. 573-605
Closed Access | Times Cited: 14
A modular memory framework for time series prediction
Stephen Kelly, Jacob Newsted, Wolfgang Banzhaf, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2020), pp. 949-957
Closed Access | Times Cited: 13
Stephen Kelly, Jacob Newsted, Wolfgang Banzhaf, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2020), pp. 949-957
Closed Access | Times Cited: 13
Emergent Discovery of Reinforced Programs using Q-Learning and Planning: A Proof of Concept
Noah Sealy, Malcolm I. Heywood
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Noah Sealy, Malcolm I. Heywood
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Solving complex problems with coevolutionary algorithms
Krzysztof Krawiec, Malcolm I. Heywood
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2019)
Closed Access | Times Cited: 3
Krzysztof Krawiec, Malcolm I. Heywood
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2019)
Closed Access | Times Cited: 3
Evolutionary Computation and the Reinforcement Learning Problem
Stephen Kelly, Jory Schossau
Genetic and evolutionary computation (2023), pp. 79-118
Closed Access | Times Cited: 1
Stephen Kelly, Jory Schossau
Genetic and evolutionary computation (2023), pp. 79-118
Closed Access | Times Cited: 1
Evolutionary Ensemble Learning
Malcolm I. Heywood
Genetic and evolutionary computation (2023), pp. 205-243
Closed Access | Times Cited: 1
Malcolm I. Heywood
Genetic and evolutionary computation (2023), pp. 205-243
Closed Access | Times Cited: 1
Solving complex problems with coevolutionary algorithms
Krzysztof Krawiec, Malcolm I. Heywood
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2020), pp. 832-858
Closed Access | Times Cited: 3
Krzysztof Krawiec, Malcolm I. Heywood
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2020), pp. 832-858
Closed Access | Times Cited: 3
On the interaction between lexicase selection, modularity and data subsets
Benjamin Portman, Malcolm I. Heywood
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 586-589
Closed Access | Times Cited: 1
Benjamin Portman, Malcolm I. Heywood
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 586-589
Closed Access | Times Cited: 1
W. B. Langdon “Jaws 30”
Malcolm I. Heywood
Genetic Programming and Evolvable Machines (2023) Vol. 24, Iss. 2
Closed Access
Malcolm I. Heywood
Genetic Programming and Evolvable Machines (2023) Vol. 24, Iss. 2
Closed Access
Multi-donor Neural Transfer Learning for Genetic Programming
Alexander Wild, B. Porter
ACM Transactions on Evolutionary Learning and Optimization (2022) Vol. 2, Iss. 4, pp. 1-40
Open Access
Alexander Wild, B. Porter
ACM Transactions on Evolutionary Learning and Optimization (2022) Vol. 2, Iss. 4, pp. 1-40
Open Access
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning
Stephen Kelly, Tatiana Voegerl, Wolfgang Banzhaf, et al.
arXiv (Cornell University) (2021)
Closed Access
Stephen Kelly, Tatiana Voegerl, Wolfgang Banzhaf, et al.
arXiv (Cornell University) (2021)
Closed Access
