·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response15m◆Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training15m◆Large language model and reinforcement learning based autonomous construction and progress updates15m◆Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models15m◆MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring15m◆DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution15m◆Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing15m◆Fix, Not Just Resample: Bounded Compiler-Guided Repair in Lean 415m◆MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning15m◆LightCRS: Lightweight Multi-Domain Conversational Recommendation System15m◆When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability15m◆SPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents15m◆Does Multi-Agent Collaboration Reduce Hallucination in Clinical Tasks?15m◆Teaching AI Agent to Play Poker Strategically Through Preference Optimization15m◆M-Plan: Comprehensive Planning For LLM Agents with Memory Arrangement15m◆Physical AI: Concepts, Techniques, and Challenges15m◆ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems15m◆A general-purpose System One decision model for clinical records15m◆Omni-Woodpecker: Hallucination Correction via Evidence-Prior Rebalancing for Omni LLMs15m◆PROVISO: Provenance-Informed Action Selection for Secure LLM Agents15m◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response15m◆Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training15m◆Large language model and reinforcement learning based autonomous construction and progress updates15m◆Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models15m◆MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring15m◆DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution15m◆Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing15m◆Fix, Not Just Resample: Bounded Compiler-Guided Repair in Lean 415m◆MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning15m◆LightCRS: Lightweight Multi-Domain Conversational Recommendation System15m◆When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability15m◆SPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents15m◆Does Multi-Agent Collaboration Reduce Hallucination in Clinical Tasks?15m◆Teaching AI Agent to Play Poker Strategically Through Preference Optimization15m◆M-Plan: Comprehensive Planning For LLM Agents with Memory Arrangement15m◆Physical AI: Concepts, Techniques, and Challenges15m◆ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems15m◆A general-purpose System One decision model for clinical records15m◆Omni-Woodpecker: Hallucination Correction via Evidence-Prior Rebalancing for Omni LLMs15m◆PROVISO: Provenance-Informed Action Selection for Secure LLM Agents15m◆
News/Prediction and Empowerment: A Theory of Agency through Bridge Interfaces
arxiv
PublishedMay 8, 2026 at 4:00 AM
—neutral

Prediction and Empowerment: A Theory of Agency through Bridge Interfaces

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

arXiv:2605.06346v1 Announce Type: new Abstract: We study agency under partial observability in deterministic physical or simulated worlds, where apparent randomness arises from uncertainty over initial conditions, fixed law bits, and unrolled exogenous noise. We model sensing and actuation as bridge

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 →
Tags
04
#artificial-intelligence#research#deterministic-models#pomdp

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#artificial-intelligence#research#deterministic-models#pomdp

Related coverage

More from ARXIV
arxivAn AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response15marxivNavalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training15marxivLarge language model and reinforcement learning based autonomous construction and progress updates15marxivPareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models15m
The Bubble Brief
MON · WED · FRI

Read artificial-intelligence 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