AINewsnow

Agent Policy-Value Audit: Separating Transition Composition from Event Selection in Financial LLM Agents

arXiv:2610.04040v1 Announce Type: new Abstract: Financial LLM agents are often evaluated by comparing their end-to-end returns with those of a baseline and testing the paired difference against zero. This measures whether deploying the agent changes realized performance, but it does not isolate eve…

Read the full story at arXiv cs.AI ↗

Timeline · 1 report

  1. 2026-10-06 04:00 · arXiv cs.AI
    Agent Policy-Value Audit: Separating Transition Composition from Event Selection in Financial LLM Agents

More stories

  1. Trump’s big AI move: ‘Super Intelligence Force’ launched, Jay Clayton named AI czar — Mint AI
  2. Introducing GLM 5.3 on Amazon Bedrock — AWS Machine Learning Blog
  3. Sam Altman to Decoded: ‘The world should accept some bad things happening’ for the benefits of AI — Politico Technology
  4. OpenAI safety employee resigns, claiming the company’s ‘culture is broken’ — TechCrunch AI
  5. Aleph-Alpha/Kolibri-1 · Hugging Face - 78B parameters. 3.46B active. Up to 1M tokens of context - Apache 2.0 — r/LocalLLaMA
  6. Supercharge regulated workloads with Claude Code and Amazon Bedrock — AWS Machine Learning Blog
  7. can i run qwen flash next with these specs, or am i out of luck? — r/LocalLLM
  8. The Story of Qwen: Alibaba's AI Models From 7B to 2.4T — MarkTechPost

Get the daily brief of stories like this at 6:30 every morning →