"A systematic study of reward for reinforcement learning based continuous ..."

Yang Yang et al. (2020)

> Home

Details and statistics

DOI: 10.1016/J.JSS.2020.110787

access: closed

type: Journal Article

metadata version: 2023-06-26

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jss/Yang0HZ20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jss/Yang0HZ20
Yang Yang, Zheng Li, Liuliu He, Ruilian Zhao:
A systematic study of reward for reinforcement learning based continuous integration testing. J. Syst. Softw. 170: 110787 (2020)

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.