Win prediction tournaments with Monte Carlo simulation, backward strategy optimization, field modeling, and risk-aware portfolio selection.
-
Updated
Jun 30, 2026 - Python
Win prediction tournaments with Monte Carlo simulation, backward strategy optimization, field modeling, and risk-aware portfolio selection.
Deterministic systems that reduce compute, data transfer, and operational focused on reducing compute and operational overhead through efficient system design.
Interactive browser demo showing how reference concentration can dominate mean activation in a reaction–diffusion-style crowd model. Two identical systems with the same mean activation diverge when reference structure differs.
Add a description, image, and links to the field-modeling topic page so that developers can more easily learn about it.
To associate your repository with the field-modeling topic, visit your repo's landing page and select "manage topics."