Synergies between reinforcement learning and evolutionary dynamic optimisation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A connection has recently been drawn between dynamic optimization and reinforcement learning problems as subsets of a broader class of sequential decision-making problems. We present a unified approach that enables the cross-pollination of ideas between established communities, and could help to develop rigorous methods for algorithm comparison and selection for real-world resource-constrained problems.

LanguageEnglish
Title of host publicationArtificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers
PublisherSpringer
Pages91-96
Number of pages6
Volume732
ISBN (Print)9783319904177
DOIs
Publication statusE-pub ahead of print - 19 Apr 2018
Event2nd International Symposium on Artificial Life and Intelligent Agents, ALIA 2016 - Birmingham, United Kingdom
Duration: 14 Jun 201615 Jun 2016

Publication series

NameCommunications in Computer and Information Science
Volume732
ISSN (Print)1865-0929

Conference

Conference2nd International Symposium on Artificial Life and Intelligent Agents, ALIA 2016
CountryUnited Kingdom
CityBirmingham
Period14/06/1615/06/16

Fingerprint

Evolutionary Dynamics
Dynamic Optimization
Evolutionary Optimization
Reinforcement learning
Synergy
Reinforcement Learning
Set theory
Decision making
Pollination
Decision Making
Resources
Subset

Cite this

Soni, A., Lewis, P. R., & Ekárt, A. (2018). Synergies between reinforcement learning and evolutionary dynamic optimisation. In Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers (Vol. 732, pp. 91-96). (Communications in Computer and Information Science; Vol. 732). Springer. https://doi.org/10.1007/978-3-319-90418-4_7
Soni, Aman ; Lewis, Peter R. ; Ekárt, Anikó. / Synergies between reinforcement learning and evolutionary dynamic optimisation. Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers. Vol. 732 Springer, 2018. pp. 91-96 (Communications in Computer and Information Science).
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Soni, A, Lewis, PR & Ekárt, A 2018, Synergies between reinforcement learning and evolutionary dynamic optimisation. in Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers. vol. 732, Communications in Computer and Information Science, vol. 732, Springer, pp. 91-96, 2nd International Symposium on Artificial Life and Intelligent Agents, ALIA 2016, Birmingham, United Kingdom, 14/06/16. https://doi.org/10.1007/978-3-319-90418-4_7

Synergies between reinforcement learning and evolutionary dynamic optimisation. / Soni, Aman; Lewis, Peter R.; Ekárt, Anikó.

Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers. Vol. 732 Springer, 2018. p. 91-96 (Communications in Computer and Information Science; Vol. 732).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Soni A, Lewis PR, Ekárt A. Synergies between reinforcement learning and evolutionary dynamic optimisation. In Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers. Vol. 732. Springer. 2018. p. 91-96. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-90418-4_7