Discrete-to-deep reinforcement learning methods

journal contribution

posted on 2022-01-01, 00:00 authored by B Kurniawan, P Vamplew, M Papasimeon, Richard DazeleyRichard Dazeley, C Foale

Discrete-to-deep reinforcement learning methods

History

Journal

Neural Computing and Applications

Volume

34

Pagination

1713-1733

Location

Berlin, Germany

ISSN

0941-0643

eISSN

1433-3058

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000702618200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Issue

3

Publisher

Springer

Usage metrics

Categories

Keywords

Actor-critic Computer Science Computer Science, Artificial Intelligence DQN Neural network Reinforcement learning Science & Technology Supervised learning Technology 4602 Artificial intelligence 4611 Machine learning

Licence

All Rights Reserved

Exports