default search action

combined dblp search
author search
venue search
publication search

ask others

"NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning."

Rongjun Qin et al. (2022)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-01-08

- view
  - electronic edition @ nips.cc (open access)
- export record
  dblp key:
  - conf/nips/QinZGCL0022
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/QinZGCL0022
Rongjun Qin, Xingyuan Zhang, Songyi Gao, Xiong-Hui Chen, Zewen Li, Weinan Zhang, Yang Yu:
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. NeurIPS 2022

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.