PFRL
valid: Two independent sources agree, or a primary source states it: the record asserts this claim, unless it is a post, is marked for review or carries a confidence below 0.5.asserted
- Valid from
- 2020-07-30
- Valid until
- still holds
- Published
- 2020-07-29
- Recorded by AsOf
- 2026-11-14
- Checked
- 2026-11-14 · its source page states the value and the date, as read by an AI model
- Confidence
- 0.70
Sources
“TOKYO – July 30, 2020 – Preferred Networks, Inc. (PFN) today released PFRL , a new open-source deep reinforcement learning (DRL) library for PyTorch users who intend to apply cutting-edge DRL algorithms to their problems of interest.”— what the page says, read 2026-11-14
Cite this claim
Plain text
AsOf. "Preferred Networks released: PFRL", as of 2020-07-30. Claim clm_3C77DEFAD79B, https://asof.is/claim/clm_3C77DEFAD79B, accessed 2026-11-14. Source: https://www.preferred.jp/en/news/pr20200730.
APA
AsOf. (2020). Preferred Networks released: PFRL (as of 2020-07-30) [Record clm_3C77DEFAD79B]. Retrieved November 14, 2026, from https://asof.is/claim/clm_3C77DEFAD79B (source: https://www.preferred.jp/en/news/pr20200730)
BibTeX
@misc{asof_clm_3C77DEFAD79B,
author = {AsOf},
title = {Preferred Networks released: PFRL},
year = {2020},
howpublished = {\url{https://asof.is/claim/clm_3C77DEFAD79B}},
note = {Claim clm\_3C77DEFAD79B, as of 2020-07-30; source: https://www.preferred.jp/en/news/pr20200730},
urldate = {2026-11-14}
}On the record
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