"TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies ..."

Batikan Bora Ormanci et al. (2024)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2411.19133

access: open

type: Informal or Other Publication

metadata version: 2025-01-01

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2411-19133
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2411-19133
Batikan Bora Ormanci, Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning. CoRR abs/2411.19133 (2024)

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.