"Policy iterations for reinforcement learning problems in continuous time ..."

Jae Young Lee, Richard S. Sutton (2021)

> Home

Details and statistics

DOI: 10.1016/J.AUTOMATICA.2020.109421

access: closed

type: Journal Article

metadata version: 2021-03-18

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/automatica/LeeS21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/automatica/LeeS21
Jae Young Lee, Richard S. Sutton:
Policy iterations for reinforcement learning problems in continuous time and space - Fundamental theory and methods. Autom. 126: 109421 (2021)

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.