"Near-continuous time Reinforcement Learning for continuous state-action ..."

Lorenzo Croissant, Marc Abeille, Bruno Bouchard (2024)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-05-13

- view
  - electronic edition @ mlr.press (open access)
- export record
  dblp key:
  - conf/alt/CroissantA024
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/alt/CroissantA024
Lorenzo Croissant, Marc Abeille, Bruno Bouchard:
Near-continuous time Reinforcement Learning for continuous state-action spaces. ALT 2024: 444-498

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.