"A set of novel continuous action-set reinforcement learning automata ..."

Ying Guo, Hao Ge, Shenghong Li (2017)

> Home

Details and statistics

DOI: 10.1007/S10489-016-0853-4

access: closed

type: Journal Article

metadata version: 2024-08-20

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/apin/GuoGL17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/apin/GuoGL17
Ying Guo, Hao Ge, Shenghong Li:
A set of novel continuous action-set reinforcement learning automata models to optimize continuous functions. Appl. Intell. 46(4): 845-864 (2017)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.