GameSmith: Scaling Zero-Sum Self-Play with Synthesised Games
arXiv:2610.13995v1 Announce Type: new 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 advantage…
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- 2026-10-14 04:00 · arXiv cs.LG
GameSmith: Scaling Zero-Sum Self-Play with Synthesised Games