JOURNAL ARTICLE

Neuroevolution for deep reinforcement learning problems

David Ha

Year: 2018 Journal:   Proceedings of the Genetic and Evolutionary Computation Conference Companion Pages: 421-431

Abstract

tutorial Share on Neuroevolution for deep reinforcement learning problems Author: David Ha Google Brain Google BrainView Profile Authors Info & Claims GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference CompanionJuly 2018 Pages 421–431https://doi.org/10.1145/3205651.3207875Published:06 July 2018Publication History 0citation383DownloadsMetricsTotal Citations0Total Downloads383Last 12 Months2Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

Keywords:
Reinforcement learning Neuroevolution Citation Computer science Artificial intelligence Evolutionary computation World Wide Web Artificial neural network

Metrics

3
Cited By
0.21
FWCI (Field Weighted Citation Impact)
0
Refs
0.53
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Evolutionary Algorithms and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Reinforcement Learning in Robotics
Physical Sciences →  Computer Science →  Artificial Intelligence
Modular Robots and Swarm Intelligence
Physical Sciences →  Engineering →  Mechanical Engineering

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