"RePReL: a unified framework for integrating relational planning and ..."

Harsha Kokel et al. (2023)

> Home

Details and statistics

DOI: 10.1007/S00521-022-08119-Y

access: closed

type: Journal Article

metadata version: 2023-08-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/nca/KokelNRT23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nca/KokelNRT23
Harsha Kokel, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli:
RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains. Neural Comput. Appl. 35(23): 16877-16892 (2023)

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.