"Hyperparameter Selection for Imitation Learning."

Léonard Hussenot et al. (2021)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2021-08-25

- view
  - electronic edition @ mlr.press (open access)
- export record
  dblp key:
  - conf/icml/HussenotAVDRRMG21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/HussenotAVDRRMG21
Léonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Sabela Ramos, Nikola Momchev, Sertan Girgin, Raphaël Marinier, Lukasz Stafiniak, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin:
Hyperparameter Selection for Imitation Learning. ICML 2021: 4511-4522

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.