An incremental multiple-oracle framework computes approximate continuous-action game equilibria with constant memory via fixed-cardinality strategy sets without exact global best responses.
Adapted LLM watermarking embeds detectable hidden signals into game-playing agents in perfect-information games, bounding utility loss and enabling rapid statistical detection with minimal quality degradation.