AINewsnow

Regularized Emphatic Temporal-Difference Learning: Stability under Constant Stepsizes

This story is from 2026-09-18. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.19170v1 Announce Type: new Abstract: Emphatic temporal-difference learning (ETD) stabilizes the expected off-policy TD update and changes its projection geometry, but neither property determines constant-stepsize sampled dynamics. We construct an ergodic two-state counterexample in which…

Read the full story at arXiv cs.AI ↗

Timeline · 1 report

  1. 2026-09-18 04:00 · arXiv cs.AI
    Regularized Emphatic Temporal-Difference Learning: Stability under Constant Stepsizes

More stories

  1. Trump announces a new 'AI Force,' but says he will not 'stifle' AI — Business Insider AI
  2. Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
  3. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  4. Google's Gemini AI hacks three other companies during security test — Sky News Technology
  5. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  6. AI's role in building AI surging? Anthropic says Claude now leads 26% of its R&D — Mint AI
  7. Microsoft exec called AI scraping the “largest theft of labor in human history” — Ars Technica AI
  8. Security researchers used Claude to help them hack into OpenAI — The Verge AI

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