Research
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
Offline policy evaluation (OPE) allows us to evaluate and estimate a new sequential decision-making policy's performance by leveraging historical interaction data collected from other policies.
BlogsA decade of governance: Cloud Custodian at 10 and its role in the agentic AI eraCncf
BlogsFrom data residency to digital sovereignty: Architectural patterns for cloud native platformsCncf
BlogsImproving Composer through real-time RL · CursorCursor
BlogsContinually improving our agent harness · CursorCursor
ResourcesGet availability for multiple domains | Vercel SDKVercel
Products & ServicesElevenLabs — Modern Slavery Policy StatementElevenlabs
Products & ServicesNew this month: Performance upgrades, better LLM support, new blocks and moreGitbook
BlogsWCAG 3.0’s Proposed Scoring Model: A Shift In Accessibility EvaluationSmashingmagazine
ResourcesPolicy structFastly
ResearchWhen Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference LearningCohere
