Emergent tangled graph representations for atari game playing agents

Stephen Kelly; Malcolm I. Heywood

doi:10.1007/978-3-319-55696-3_5

Emergent tangled graph representations for atari game playing agents

Stephen Kelly, Malcolm I. Heywood

Biochemistry, Genetics and Molecular Biology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

32 Citations (Scopus)

Original language	English
Title of host publication	Genetic Programming - 20th European Conference, EuroGP 2017, Proceedings
Editors	James McDermott, Mauro Castelli, Lukas Sekanina, Pablo Garcia-Sanchez, Evert Haasdijk
Publisher	Springer Verlag
Pages	64-79
Number of pages	16
ISBN (Print)	9783319556956
DOIs	https://doi.org/10.1007/978-3-319-55696-3_5
Publication status	Published - 2017
Event	20th European Conference on Genetic Programming, EuroGP 2017 - Amsterdam, Netherlands Duration: Apr 19 2017 → Apr 21 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10196 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th European Conference on Genetic Programming, EuroGP 2017
Country/Territory	Netherlands
City	Amsterdam
Period	4/19/17 → 4/21/17

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Arcade learning environment
Emergent modularity
Reinforcement learning
Task decomposition

Access to Document

10.1007/978-3-319-55696-3_5

Cite this

Kelly, S., & Heywood, M. I. (2017). Emergent tangled graph representations for atari game playing agents. In J. McDermott, M. Castelli, L. Sekanina, P. Garcia-Sanchez, & E. Haasdijk (Eds.), Genetic Programming - 20th European Conference, EuroGP 2017, Proceedings (pp. 64-79). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10196 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-55696-3_5

Emergent tangled graph representations for atari game playing agents. / Kelly, Stephen; Heywood, Malcolm I.
Genetic Programming - 20th European Conference, EuroGP 2017, Proceedings. ed. / James McDermott; Mauro Castelli; Lukas Sekanina; Pablo Garcia-Sanchez; Evert Haasdijk. Springer Verlag, 2017. p. 64-79 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10196 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kelly, S & Heywood, MI 2017, Emergent tangled graph representations for atari game playing agents. in J McDermott, M Castelli, L Sekanina, P Garcia-Sanchez & E Haasdijk (eds), Genetic Programming - 20th European Conference, EuroGP 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10196 LNCS, Springer Verlag, pp. 64-79, 20th European Conference on Genetic Programming, EuroGP 2017, Amsterdam, Netherlands, 4/19/17. https://doi.org/10.1007/978-3-319-55696-3_5

Kelly S, Heywood MI. Emergent tangled graph representations for atari game playing agents. In McDermott J, Castelli M, Sekanina L, Garcia-Sanchez P, Haasdijk E, editors, Genetic Programming - 20th European Conference, EuroGP 2017, Proceedings. Springer Verlag. 2017. p. 64-79. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-55696-3_5

Kelly, Stephen ; Heywood, Malcolm I. / Emergent tangled graph representations for atari game playing agents. Genetic Programming - 20th European Conference, EuroGP 2017, Proceedings. editor / James McDermott ; Mauro Castelli ; Lukas Sekanina ; Pablo Garcia-Sanchez ; Evert Haasdijk. Springer Verlag, 2017. pp. 64-79 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Emergent tangled graph representations for atari game playing agents

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Keywords

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