·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
AI has a water problem. Google thinks it has a fix3h◆Google must let publishers opt out of AI Search features, rules UK4h◆FederatedSkill: Federated Learning for Agentic Skill Evolution8h◆Toward a Modular Architecture for Embedded AI Agent Systems at the Edge8h◆A Graph Foundation Model with Spectral Parsing and Prototype-Guided Spatial Propagation8h◆Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate8h◆Evaluating the Reversal Curse in Model Editing8h◆Fast Unlearning at Scale via Margin Self-Correction8h◆Can Local Learning Match Self-Supervised Backpropagation?8h◆CAPER: Clause-Aligned Process Supervision for Text-to-SQL8h◆An Asymptotic Theory of Chain-of-Thought in In-Context Learning8h◆DeskCraft: Benchmarking Desktop Agents on Professional Workflows and Human-in-the-Loop Collaboration8h◆Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction8h◆Don't Gamble, GAMBLe: An Analytical Framework for AI-Driven Research Systems8h◆RMPrior: Bridging Propagation Priors and Diffusion Refinement for Efficient Radio Map Construction8h◆Learning to Solve, Forgetting to Retain: Correct-Set Turnover in RLVR8h◆RogueMerge: Robust and Unified Attacks against LLM Model Merging8h◆The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset8h◆MLSkip: Data Skipping for ML Filters via Lightweight Metadata8h◆Multi-Segment Attention: Enabling Efficient KV-Cache Management for Faster Large Language Model Serving8h◆AI has a water problem. Google thinks it has a fix3h◆Google must let publishers opt out of AI Search features, rules UK4h◆FederatedSkill: Federated Learning for Agentic Skill Evolution8h◆Toward a Modular Architecture for Embedded AI Agent Systems at the Edge8h◆A Graph Foundation Model with Spectral Parsing and Prototype-Guided Spatial Propagation8h◆Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate8h◆Evaluating the Reversal Curse in Model Editing8h◆Fast Unlearning at Scale via Margin Self-Correction8h◆Can Local Learning Match Self-Supervised Backpropagation?8h◆CAPER: Clause-Aligned Process Supervision for Text-to-SQL8h◆An Asymptotic Theory of Chain-of-Thought in In-Context Learning8h◆DeskCraft: Benchmarking Desktop Agents on Professional Workflows and Human-in-the-Loop Collaboration8h◆Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction8h◆Don't Gamble, GAMBLe: An Analytical Framework for AI-Driven Research Systems8h◆RMPrior: Bridging Propagation Priors and Diffusion Refinement for Efficient Radio Map Construction8h◆Learning to Solve, Forgetting to Retain: Correct-Set Turnover in RLVR8h◆RogueMerge: Robust and Unified Attacks against LLM Model Merging8h◆The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset8h◆MLSkip: Data Skipping for ML Filters via Lightweight Metadata8h◆Multi-Segment Attention: Enabling Efficient KV-Cache Management for Faster Large Language Model Serving8h◆
News/Adaptive Exploration for Latent-State Bandits
arxiv
PublishedJune 2, 2026 at 4:00 AM
—neutral

Adaptive Exploration for Latent-State Bandits

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

arXiv:2602.05139v3 Announce Type: replace Abstract: We study bandits whose rewards depend on an unobserved Markov state that evolves independently of the learner's actions. The optimal arm can change even though the learner observes only past actions and rewards. We propose algorithms that feed LinU

Stay posted· Newsletter

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

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

Discussion
Mentioned models
01
  • 01
    LinUCB
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#bandits#machine-learning#markov-state

No replies yet. Be first.

Mentioned models
01
  • 01
    LinUCB
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#bandits#machine-learning#markov-state

Related coverage

More from ARXIV
arxivFederatedSkill: Federated Learning for Agentic Skill Evolution8harxivToward a Modular Architecture for Embedded AI Agent Systems at the Edge8harxivA Graph Foundation Model with Spectral Parsing and Prototype-Guided Spatial Propagation8harxivAnomalies in Multivariate Time Series Benchmarks Are Mostly Univariate8h
The Bubble Brief
WEEKLY

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

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

Originally published on arxiv ↗
HomeModelsNews