Simulation Environment
When the goal expands from assessment to ability nurturing, the assessment environment evolves into a simulation one: millions of interactions instead of thousands, randomization versus rote learning, instant feedback.
Differences from the assessment environment:
- reliable reset semantics — each episode is a deterministic clean start;
- throughput is orders of magnitude higher.
The assessment verifier directly becomes the RLVR reward function.
Spectrum of fidelity: from API stubs to the real world; domain randomization narrows the gap.
Related: Assessment Environments, Data and Environment are More Important than Algorithm, Sim2Real