"Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy ..."

Paulo E. Rauber et al. (2021)

> Home

Details and statistics

DOI: 10.1162/NECO_A_01387

access: closed

type: Journal Article

metadata version: 2021-05-20

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/neco/RauberUMS21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/neco/RauberUMS21
Paulo E. Rauber, Avinash Ummadisingu, Filipe Mutz, Jürgen Schmidhuber:
Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients. Neural Comput. 33(6): 1498-1553 (2021)

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.