research-method

To research a new scalarizer or aggregator for TorchJD, you need to review the scientific literature to summarize the proposed method, map it to existing implementations, and identify non-standard interface requirements such as statefulness or randomness. This produces a tracking summary and integration plan.

The best way to map a new optimization method to TorchJD is to locate official and community implementations, analyze the method's interface for extra inputs or warm-up needs, and produce a table row suitable for posting into the appropriate TorchJD tracking issue.

Identifying non-standard interface requirements for TorchJD requires a thorough paper review and repository hunting to detect if the optimization method involves state, randomness, warm-up phases, or extra inputs beyond standard scalarizer and aggregator behaviors.

Yes, you can compare a new optimization approach with existing TorchJD implementations by performing a literature review that summarizes the proposed method and checks how it differentiates from current repository implementations.

Yes, you need a specific scientific paper detailing the scalarizer, aggregator, or related optimization method to start the TorchJD integration planning process and generate a tracking issue summary.