PHASE uses heterogeneous self-play and context-conditioned policies to achieve realistic, zero-shot highway traffic simulation that outperforms traditional rule-based and self-play models on real-world datasets.
Gomez, Łukasz Kaiser, and Illia Polosukhin
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DMA delivers a fused low-bit MXFP attention kernel with diagonal tiling that achieves significant speedup on B200 GPUs with negligible generation quality loss.
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Heterogeneous Self-Play for Realistic Highway Traffic Simulation
PHASE uses heterogeneous self-play and context-conditioned policies to achieve realistic, zero-shot highway traffic simulation that outperforms traditional rule-based and self-play models on real-world datasets.
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Diagonal-Tiled Mixed-Precision Attention for Efficient Low-Bit MXFP Inference
DMA delivers a fused low-bit MXFP attention kernel with diagonal tiling that achieves significant speedup on B200 GPUs with negligible generation quality loss.