AI RESEARCH
The PokeAgent Challenge: Competitive and Long-Context Learning at Scale
arXiv CS.AI
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ArXi:2603.15563v1 Announce Type: cross We present the PokeAgent Challenge, a large-scale benchmark for decision-making research built on Pokemon's multi-agent battle system and expansive role-playing game (RPG) environment. Partial observability, game-theoretic reasoning, and long-horizon planning remain open problems for frontier AI, yet few benchmarks stress all three simultaneously under realistic conditions.