#deepRL
Live, measured metrics for the hashtag #deepRL from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #deeprl
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 14:54 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-29 14:54 UTCNo related tags with measured usage found for #deeprl.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 14:54 UTCEverything below is measured over the latest 8 public posts (spanning ~35926 hours).
Posting hours (UTC)
Languages: English (7) · French (1)
Avg boosts / post: 1.5
Top of the latest posts
making my way downtown collecting MNIST >= 5 #deepRL #Doom
fly51fly (@fly51fly) Meta FAIR와 Inria 연구진이 모듈형 코드 생성을 학습해 더 어려운 문제를 푸는 DecompRL을 제안했습니다. 복잡한 문제를 분해해 생성하는 접근으로, 코드 생성·에이전트형 계획에 참고할 만한 연구입니다. https://x.com/fly51fly/status/2073157319626772584 #deeprl #codegeneration #llm #modular #research
This #DeepRL paper from University of Alberta seems quite cool: "Deep reinforcement learning without experience replay, target networks, or batch updates" As the title says, they succeeded in training deep RL networks in streaming setting g
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/deeprl