All research programs
Research Program

Simulation and Synthetic Environments

Program
Simulation and Synthetic Environments
Publications
2
Systems
1
Latest
January 17, 2026

Research question

Where should a system be tested when production is the wrong place to find out?

Working thesis

Agents should meet replayable synthetic environments before they meet consequences. Generated environments, traced rollouts, deterministic replay, and scored evidence turn agent testing into something repeatable — and the traces are themselves a dataset.

A thesis is the lab’s current position, not a result. What supports it is listed below; what remains unresolved is stated at the end of this page.

Publications

2 attributed

Apparatus

1 system

Systems attached to this program are what the lab builds to investigate the question. Maturity, evidence level, and current activity are recorded separately on each system — a system attached here is not thereby claimed to be production-ready.

Boundary

Simulation & Evaluation Engine

A simulation and synthetic-environment engine for agent rollouts, deterministic replay, evaluation scorecards, and training-dataset export.

Research PrototypeEvidence: Prototype implementedActive

Open questions

Published as open. These are the parts of the program the lab does not consider settled.

  • 01

    How closely must a synthetic environment match reality before its scores transfer?

  • 02

    What makes a rollout trace worth training on rather than merely worth reading?

  • 03

    How is determinism preserved once real tools enter the loop?

All research programs Systems registry