JOURNAL ARTICLE

Neuroevolution for deep reinforcement learning problems

David Ha

Year: 2019 Journal:   Proceedings of the Genetic and Evolutionary Computation Conference Companion Pages: 550-593

Abstract

tutorial Share on Neuroevolution for deep reinforcement learning problems Author: David Ha Google Brain, Tokyo, Japan Google Brain, Tokyo, JapanView Profile Authors Info & Claims GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference CompanionJuly 2019 Pages 550–593https://doi.org/10.1145/3319619.3323370Published:13 July 2019Publication History 1citation93DownloadsMetricsTotal Citations1Total Downloads93Last 12 Months6Last 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 Evolutionary computation Artificial intelligence World Wide Web Artificial neural network

Metrics

1
Cited By
0.13
FWCI (Field Weighted Citation Impact)
0
Refs
0.57
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

Related Documents

JOURNAL ARTICLE

Neuroevolution for deep reinforcement learning problems

David Ha

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

Neuroevolution for deep reinforcement learning problems

David Ha

Year: 2020 Pages: 404-427
JOURNAL ARTICLE

Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems

Alexis AssemanNicolas AntoineAhmet S. Ozcan

Journal:   ACM Journal on Emerging Technologies in Computing Systems Year: 2021 Vol: 17 (2)Pages: 1-17
JOURNAL ARTICLE

Optimizing deep reinforcement learning through vectorized and parallel NeuroEvolution

Hesham MagdyAmany M. SarhanMohammad Ali Eita

Journal:   Future Generation Computer Systems Year: 2025 Vol: 179 Pages: 108334-108334
BOOK-CHAPTER

Scalable Neuroevolution for Reinforcement Learning

Faustino Gomez

Lecture notes in computer science Year: 2012 Pages: 27-29
© 2026 ScienceGate Book Chapters — All rights reserved.