Actor-critic
AssessTechniques
A reinforcement learning loop that separates action selection from value evaluation.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by open-source activity, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 6InfoQ·8/18/2026open_sourceNetflix Open Sources Agentic Workflow for Causal Inference
Netflix has open-sourced an agentic workflow for observational causal inference to reduce manual effort in causal analysis. Using observational data and a human-provided analysis plan, the system applies an actor-critic loop to estimate causality, generate a report, and recommend next steps.