Tootfinder

Opt-in global Mastodon full text search. Join the index!

No exact results. Similar results found.
@macandi@social.heise.de
2026-01-26 12:05:00

iPhone 18 Pro: Gerüchte-Hin- und Her um Dynamic Island
Apples iPhone-Front wird seit Jahren vom Dynamic-Island-Bereich beherrscht. Fehlübersetzte Gerüchte aus Asien sorgten zuletzt für Wirbel, ob sie verschwindet.

@laxsill@social.spejset.org
2026-01-26 18:30:22

ang senaste RT är det iallafall två personer som kört in i palestinademos expo.se/nyhet/bil-korde-in-i-p

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 10:41:21

Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
Zhangjie Xia, Yu Yang, Pan Xu
arxiv.org/abs/2602.21072 arxiv.org/pdf/2602.21072 arxiv.org/html/2602.21072
arXiv:2602.21072v1 Announce Type: new
Abstract: Off-dynamics offline reinforcement learning (RL) aims to learn a policy for a target domain using limited target data and abundant source data collected under different transition dynamics. Existing methods typically address dynamics mismatch either globally over the state space or via pointwise data filtering; these approaches can miss localized cross-domain similarities or incur high computational cost. We propose Localized Dynamics-Aware Domain Adaptation (LoDADA), which exploits localized dynamics mismatch to better reuse source data. LoDADA clusters transitions from source and target datasets and estimates cluster-level dynamics discrepancy via domain discrimination. Source transitions from clusters with small discrepancy are retained, while those from clusters with large discrepancy are filtered out. This yields a fine-grained and scalable data selection strategy that avoids overly coarse global assumptions and expensive per-sample filtering. We provide theoretical insights and extensive experiments across environments with diverse global and local dynamics shifts. Results show that LoDADA consistently outperforms state-of-the-art off-dynamics offline RL methods by better leveraging localized distribution mismatch.
toXiv_bot_toot

@kexpmusicbot@mastodonapp.uk
2025-12-25 02:16:51

🇺🇦 #NowPlaying on KEXP's #DriveTime
Dan Mangan:
🎵 A Christmas Song
#DanMangan
danmangan.bandcamp.com/track/a
open.spotify.com/track/6EkDPVe

@memeorandum@universeodon.com
2026-02-25 19:01:21

Trump's Epstein Scandal Takes Damning Turn as Dem Drops New Bombshell (New Republic)
newrepublic.com/article/207005
memeorandum.com/260225/p74#a26

Dynamic mounds made of methane at a depth of some 3,640 meters
act like “frozen reefs” for a bizarre array of deep-sea creatures, new observations reveal
scientificamerican.com/article

@cowboys@darktundra.xyz
2026-02-26 13:52:26

Cowboys Remain Best Fit for Breakout Star Ahead of NFL Free Agency si.com/nfl/cowboys/onsi/news/d

@memeorandum@universeodon.com
2026-02-26 22:41:01

Maine Democrat Graham Platner Boosts Holocaust-Denying White Supremacist (Chuck Ross/The Washington Free Beacon)
freebeacon.com/democrats/maine
memeorandum.com/260226/p102#a2

@kexpmusicbot@mastodonapp.uk
2026-01-25 08:34:35

🇺🇦 #NowPlaying on KEXP's #SeekAndDestroy
Mortual:
🎵 Dimensional Chaos
#Mortual
mortualofficial.bandcamp.com/t
open.spotify.com/track/575Rvc7

@memeorandum@universeodon.com
2025-12-25 06:25:51

Pope Leo, on Christmas Eve, says denying help to poor is rejecting God (Joshua McElwee/Reuters)
reuters.com/world/pope-leo-chr
memeorandum.com/251225/p1#a251