Tracing strategic divergence: archetypal and counterfactual analysis of StarCraft II gameplay trajectories

By providing openaccess code and reproducible datasets, TRACE lowers the barrier to large-scale replay analysis, offering an operational quantitative basis for macro-strategy understanding, coaching reviews, and AI model evaluation.

Authors

Institutions

Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2026-01-06
DOI
https://doi.org/10.3389/frai.2025.1724493
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tracing strategic divergence: archetypal and counterfactual analysis of StarCraft II gameplay trajectories

Weilong Yang, Jie Zhang
Frontiers in Artificial Intelligence
Artificial Intelligence in Games
article

Tracing strategic divergence: archetypal and counterfactual analysis of StarCraft II gameplay trajectories

Weilong Yang, Jie Zhang
article en

Abstract

By providing openaccess code and reproducible datasets, TRACE lowers the barrier to large-scale replay analysis, offering an operational quantitative basis for macro-strategy understanding, coaching reviews, and AI model evaluation.

Frontiers in Artificial IntelligenceVol. 8
PLA Academy of Military Science (CN)
Openalex Percentile: Top 96%
Artificial Intelligence in Games
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Tracing strategic divergence: archetypal and counterfactual analysis of StarCraft II gameplay trajectories — Weilong Yang, Jie Zhang · Frontiers in Artificial Intelligence (2026) | TGRS Research Map | TGRS