·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Anthropic’s landmark $1.5B copyright settlement is approved3h◆Trump’s latest AI czar has already resigned5h◆Here are the 30,000 songs Sony is suing Udio’s AI music generator over5h◆Google is working on a new AI chip designed to make Gemini more efficient6h◆SpaceX in your index fund, explained6h◆AI’s most important protocol is getting a little bit easier to use6h◆X relaunches a rebuilt Android app after year-long effort7h◆OpenAI is scared of open-weight models. Should the US be?7h◆China’s AI models have Trump’s AI world at war with itself9h◆Adobe’s ‘natural look’ camera app embraces generative AI11h◆Introducing Cosmos 3 Edge11h◆Adobe camera app’s new feature will critique your photos using AI11h◆YouTube clarifies policies around AI slop and upsetting videos12h◆China delivers a one-two punch to America’s AI dominance17h◆Safety and alignment in an era of long-horizon models17h◆AI is more likely than humans to form biases when hiring18h◆ADS-C: Antidistillation Sampling for Classification23h◆Testing Distributions Against Bounded Distinguishers23h◆From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems23h◆A Formally Grounded ODRL Evaluator: Implementation and Comparison23h◆Anthropic’s landmark $1.5B copyright settlement is approved3h◆Trump’s latest AI czar has already resigned5h◆Here are the 30,000 songs Sony is suing Udio’s AI music generator over5h◆Google is working on a new AI chip designed to make Gemini more efficient6h◆SpaceX in your index fund, explained6h◆AI’s most important protocol is getting a little bit easier to use6h◆X relaunches a rebuilt Android app after year-long effort7h◆OpenAI is scared of open-weight models. Should the US be?7h◆China’s AI models have Trump’s AI world at war with itself9h◆Adobe’s ‘natural look’ camera app embraces generative AI11h◆Introducing Cosmos 3 Edge11h◆Adobe camera app’s new feature will critique your photos using AI11h◆YouTube clarifies policies around AI slop and upsetting videos12h◆China delivers a one-two punch to America’s AI dominance17h◆Safety and alignment in an era of long-horizon models17h◆AI is more likely than humans to form biases when hiring18h◆ADS-C: Antidistillation Sampling for Classification23h◆Testing Distributions Against Bounded Distinguishers23h◆From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems23h◆A Formally Grounded ODRL Evaluator: Implementation and Comparison23h◆
News/Stochastic Reset Pathfinding: Path-Level Regret for Cascading Bandits over Graph Paths
arxiv
PublishedJuly 20, 2026 at 4:00 AM
—neutral

Stochastic Reset Pathfinding: Path-Level Regret for Cascading Bandits over Graph Paths

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.15440v1 Announce Type: new Abstract: We introduce Stochastic Reset Pathfinding (SRP), an episodic learning problem on a known directed graph with unknown stationary edge success probabilities. In each episode, the agent commits to a source-to-goal path, and any edge failure during executi

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivADS-C: Antidistillation Sampling for Classification23harxivTesting Distributions Against Bounded Distinguishers23harxivFrom Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems23harxivA Formally Grounded ODRL Evaluator: Implementation and Comparison23h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews