Skill

aamas-experiments

Use when designing or auditing AAMAS experiments - self-play and population-based training, opponent selection, equilibrium and regret metrics, game-theoretic simulations, ablations, seeds, hyperparameters, compute, and claim-to-evidence fit - with emphasis on experiments that probe the interaction rather than chase a single-agent leaderboard.

Bundled with Awesome-Journal-Skills. Its trust score, security findings and other files are on the plugin page.

npx [email protected] add brycewang-stanford/Awesome-Journal-Skills