"Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning."

Andrey Bernstein et al. (2019)

> Home

Details and statistics

DOI: 10.1109/CDC40024.2019.9029247

access: closed

type: Conference or Workshop Paper

metadata version: 2022-04-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cdc/BernsteinCCDMM19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cdc/BernsteinCCDMM19
Andrey Bernstein, Yue Chen, Marcello Colombino, Emiliano Dall'Anese, Prashant G. Mehta, Sean P. Meyn:
Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning. CDC 2019: 5244-5251

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.