"Bidirectional End-to-End Framework for Transfer from Abstract Models in ..."

Mahyar Alinejad et al. (2025)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2025-12-03

- view
  - electronic edition @ mlr.press (open access)
- export record
  dblp key:
  - conf/neus/AlinejadNEWVA25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/neus/AlinejadNEWVA25
Mahyar Alinejad, Precious Nwaorgu, Chinwendu Enyioha, Yue Wang, Alvaro Velasquez, George K. Atia:
Bidirectional End-to-End Framework for Transfer from Abstract Models in Non-Markovian Reinforcement Learning. NeuS 2025: 643-660

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.