Self-play / Elo

One ladder: Blue score = mean SLA, Red = 1 − SLA. benchmarks/self_play.py.

python -m benchmarks.self_play --seeds 5 --max-ticks 150

from benchmarks.self_play import population_tournament

result = population_tournament(
    scenarios=['ransomware', 'apt_espionage', 'cloud_hybrid'],
    seeds=list(range(5)),
    max_ticks=150,
)

Default pools: random, heuristic, killchain-red. Pass red_pool / blue_pool (name → factory) to add trained agents.

 1. heuristic-blue    1041.7
 2. random-blue       1022.1
 3. killchain-red      980.4