·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
GlobeBench: Evaluating Text-Based World Model Capabilities for Scalable Environment Simulations2h◆Algorithm Modelization: Transforming Optimization Algorithms into Evolvable Intelligence2h◆SimOPD: Relational Knowledge Transfer for On-Policy Distillation2h◆Generative Policy Improvement from Observational Data2h◆SkillBrowser: Selective Skill Exposure for Scalable Skill-Using Agents2h◆GEMS: Molecular Structure Elucidation as Learned Search over Isomer Graphs2h◆OwlSight: A Panoramic Monitor for Chain-of-Thought Reasoning2h◆Beyond Large Language Models: A Mental World Model Framework for Mental Modeling, Simulation, Evolution, and Interpretability2h◆Hard Instances on Demand2h◆ARBOR: Locating Reasoning Failures in Long Chains of Thought through Reasoning State Tracking2h◆Aligning Language Models Towards Counterfactual Invariance2h◆Language Models Learn to Improve Language Models2h◆TUPLE-Bench: Evaluating and Mitigating Privacy-Utility Trade-offs in Typed Decision Models2h◆STAIF: A Stage-wise Optimization for Complex Instruction Following2h◆Q-Reflector: Learning GUI Action Reflection with Generated Conditions2h◆When Should Agents Check External State? Budgeting Observations for Stored Intentions2h◆RIT-RAG: Navigating Document Corpora with Retrieval-Induced Trees2h◆MultiWorldBench: Do Independently Controlled Views Describe One Shared World?2h◆Are Multimodal Benchmarks Really Useful? Item-Level Multimodal Benchmark Diagnosis via Structure-Response Co-Calibration2h◆Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift2h◆GlobeBench: Evaluating Text-Based World Model Capabilities for Scalable Environment Simulations2h◆Algorithm Modelization: Transforming Optimization Algorithms into Evolvable Intelligence2h◆SimOPD: Relational Knowledge Transfer for On-Policy Distillation2h◆Generative Policy Improvement from Observational Data2h◆SkillBrowser: Selective Skill Exposure for Scalable Skill-Using Agents2h◆GEMS: Molecular Structure Elucidation as Learned Search over Isomer Graphs2h◆OwlSight: A Panoramic Monitor for Chain-of-Thought Reasoning2h◆Beyond Large Language Models: A Mental World Model Framework for Mental Modeling, Simulation, Evolution, and Interpretability2h◆Hard Instances on Demand2h◆ARBOR: Locating Reasoning Failures in Long Chains of Thought through Reasoning State Tracking2h◆Aligning Language Models Towards Counterfactual Invariance2h◆Language Models Learn to Improve Language Models2h◆TUPLE-Bench: Evaluating and Mitigating Privacy-Utility Trade-offs in Typed Decision Models2h◆STAIF: A Stage-wise Optimization for Complex Instruction Following2h◆Q-Reflector: Learning GUI Action Reflection with Generated Conditions2h◆When Should Agents Check External State? Budgeting Observations for Stored Intentions2h◆RIT-RAG: Navigating Document Corpora with Retrieval-Induced Trees2h◆MultiWorldBench: Do Independently Controlled Views Describe One Shared World?2h◆Are Multimodal Benchmarks Really Useful? Item-Level Multimodal Benchmark Diagnosis via Structure-Response Co-Calibration2h◆Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift2h◆
News/Generative Policy Improvement from Observational Data
arxiv
PublishedOctober 19, 2026 at 4:00 AM

Generative Policy Improvement from Observational Data

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

arXiv:2610.23436v1 Announce Type: new Abstract: We study how to improve decision policies from observational data to generate better actions when actions are complex, structured objects, such as text messages or images. This task is subject to two major challenges: (i) action-level overlap is often

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

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

Your email is used only to send The Bubble Brief. Privacy policy

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
arxivGlobeBench: Evaluating Text-Based World Model Capabilities for Scalable Environment Simulations2harxivAlgorithm Modelization: Transforming Optimization Algorithms into Evolvable Intelligence2harxivSimOPD: Relational Knowledge Transfer for On-Policy Distillation2harxivSkillBrowser: Selective Skill Exposure for Scalable Skill-Using Agents2h
The Bubble Brief
MON · WED · FRI

Read AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

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

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews