·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Generative Models on Analog Hardware with Dynamics3h◆NASimJax: A GPU-Accelerated Policy Learning Framework for Penetration Testing3h◆AlgoEvolve: LLM-driven Meta-evolution of Algorithmic Trading Programs3h◆Agentic Analysis for Agentic Infrastructure: An LLM-Powered Pipeline for Comparative Governance of DAO and Corporate AI Protocols3h◆Accelerating Skill Assessment in Chess: A Drift-Diffusion-Enhanced Elo Rating System3h◆Governing Actions, Not Agents: Institutional Attestation as a Governance Model for Autonomous AI Systems3h◆COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami3h◆How Do Tool-Augmented LLM Agents Perform on Real-World Energy Analytics Tasks?3h◆Instruction Bleed: Cross-Module Interference in Prompt-Composed Agentic Systems3h◆Narration-of-Thought: Inference-Time Scaffolding for Defeasible Ethical Reasoning in Large Language Models3h◆Unbiased Canonical Set-Valued Oracles Via Lattice Theory3h◆Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data3h◆Data-driven Machine Learning Cannot Reach Symbolic-level Logical Reasoning -- The Limit of the Scaling Law3h◆MKG-RAG-Bench: Benchmarking Retrieval in Multimodal Knowledge Graph-Augmented Generation3h◆auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation3h◆Humans Disengage, Reasoning Models Persist: Separating Difficulty Registration from Deliberation Allocation3h◆NeuraDock Visual Cognitive Load Agent Tutorial: A Quality-Gated Open-Source EEG Workflow for Alpha Dynamics and Real-Time Applications3h◆Boundary-Aware Context Grounding for A Low-Channel EEG Agent3h◆PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting3h◆Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients3h◆Generative Models on Analog Hardware with Dynamics3h◆NASimJax: A GPU-Accelerated Policy Learning Framework for Penetration Testing3h◆AlgoEvolve: LLM-driven Meta-evolution of Algorithmic Trading Programs3h◆Agentic Analysis for Agentic Infrastructure: An LLM-Powered Pipeline for Comparative Governance of DAO and Corporate AI Protocols3h◆Accelerating Skill Assessment in Chess: A Drift-Diffusion-Enhanced Elo Rating System3h◆Governing Actions, Not Agents: Institutional Attestation as a Governance Model for Autonomous AI Systems3h◆COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami3h◆How Do Tool-Augmented LLM Agents Perform on Real-World Energy Analytics Tasks?3h◆Instruction Bleed: Cross-Module Interference in Prompt-Composed Agentic Systems3h◆Narration-of-Thought: Inference-Time Scaffolding for Defeasible Ethical Reasoning in Large Language Models3h◆Unbiased Canonical Set-Valued Oracles Via Lattice Theory3h◆Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data3h◆Data-driven Machine Learning Cannot Reach Symbolic-level Logical Reasoning -- The Limit of the Scaling Law3h◆MKG-RAG-Bench: Benchmarking Retrieval in Multimodal Knowledge Graph-Augmented Generation3h◆auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation3h◆Humans Disengage, Reasoning Models Persist: Separating Difficulty Registration from Deliberation Allocation3h◆NeuraDock Visual Cognitive Load Agent Tutorial: A Quality-Gated Open-Source EEG Workflow for Alpha Dynamics and Real-Time Applications3h◆Boundary-Aware Context Grounding for A Low-Channel EEG Agent3h◆PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting3h◆Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients3h◆
News/NASimJax: A GPU-Accelerated Policy Learning Framework for Penetration Testing
arxiv
PublishedJune 26, 2026 at 4:00 AM
—neutral

NASimJax: A GPU-Accelerated Policy Learning Framework for Penetration Testing

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

arXiv:2603.19864v2 Announce Type: replace Abstract: Penetration testing, the practice of simulating cyberattacks to identify vulnerabilities, is a complex sequential decision-making task that is inherently partially observable and features large action spaces. Training reinforcement learning (RL) po

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
arxivGenerative Models on Analog Hardware with Dynamics3harxivAlgoEvolve: LLM-driven Meta-evolution of Algorithmic Trading Programs3harxivAgentic Analysis for Agentic Infrastructure: An LLM-Powered Pipeline for Comparative Governance of DAO and Corporate AI Protocols3harxivAccelerating Skill Assessment in Chess: A Drift-Diffusion-Enhanced Elo Rating System3h
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