UniMaia demonstrates feasible prompt-conditioned control of a frozen Lc0 chess policy network via text encoder and conditioning, achieving SOTA expected accuracy on prompt benchmarks while remaining competitive on human move prediction.
Figure 9 shows that all LoRA-based variants con- verge similarly
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UniMaia: Steering Chess Policies with Language for Human-like Play
UniMaia demonstrates feasible prompt-conditioned control of a frozen Lc0 chess policy network via text encoder and conditioning, achieving SOTA expected accuracy on prompt benchmarks while remaining competitive on human move prediction.