"Using offline data to speed up Reinforcement Learning in procedurally ..."

Alain Andres et al. (2025)

> Home

Details and statistics

DOI: 10.1016/J.NEUCOM.2024.129079

access: closed

type: Journal Article

metadata version: 2025-01-08

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ijon/AndresSAS25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ijon/AndresSAS25
Alain Andres, Lukas Schäfer, Stefano V. Albrecht, Javier Del Ser:
Using offline data to speed up Reinforcement Learning in procedurally generated environments. Neurocomputing 618: 129079 (2025)

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.