GameSmith scales zero-sum self-play with synthesised games
Read the original at arxiv.org→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....
Original headline: "GameSmith: Scaling Zero-Sum Self-Play with Synthesised Games"
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- Oct 14, 04:00 UTC arXiv cs.LG lead source GameSmith: Scaling Zero-Sum Self-Play with Synthesised Games