8 AIs compete in Pokemon doubles tournament

Competitive gaming environments like Pokemon serve as an excellent testbed for model reasoning under uncertainty and long-term planning.

• –Doubles format increases decision complexity by requiring models to manage two active units and anticipate multi-turn interactions.
• –A tournament format reveals performance hierarchies and stylistic differences between diverse model architectures.
• –Strategic preference analysis (e.g., hyper-offense vs. defensive stall) offers a creative way to evaluate model "personality" beyond standard benchmarks.
• –This implementation demonstrates the growing capability of AIs to navigate rule-heavy, turn-based systems without explicit hard-coding.