AINewsnow

Before the Rollout Ends: Early Terminal Reward Prediction for Long-horizon Coding Agents

arXiv:2609.31995v1 Announce Type: new Abstract: Long-horizon coding agents receive verifiable rewards only after completing expensive sequences of tool calls. This increases inference cost, amplifies early wrong hypotheses, and can lead to sparse terminal reward and unstable training. We introduce…

Read the full story at arXiv cs.CL ↗

Timeline · 1 report

  1. 2026-09-30 04:00 · arXiv cs.CL
    Before the Rollout Ends: Early Terminal Reward Prediction for Long-horizon Coding Agents

More stories

  1. NVIDIA Open Agent Safety Platform: A Reference for Continuous In-Silicon Agent Monitoring — NVIDIA Technical Blog
  2. The Future Is for Everyone: Muse for Small Business — Meta Newsroom
  3. How we found 24 Android vulnerabilities using our open source AI security agent — GitHub Blog
  4. Introducing Claude Sonnet 5.5 on AWS — AWS Machine Learning Blog
  5. OpenAI launches Dots, its Muse competitor — The Verge AI
  6. OpenAI pauses AI training, launches ‘extensive’ review after multiple rogue agent incidents — Mint AI
  7. Anthropic warns of ‘existential risks to humanity’ in IPO prospectus — Financial Times AI
  8. OpenAI Scraps Release of New AI Model Over Safety Concerns — Wall Street Journal Technology

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