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News/GameSmith: Scaling Zero-Sum Self-Play with Synthesised Games
arxiv
PublishedOctober 15, 2026 at 4:00 AM

GameSmith: Scaling Zero-Sum Self-Play with Synthesised Games

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arXiv:2610.13995v1 Announce Type: cross Abstract: Post-training large language models (LLMs) on two-player zero-sum games provides a verifiable reward, and the gains have been shown to transfer to general reasoning. Existing pipelines, however, rely on a handful of hand-written games and on advantag

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