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This work trains from random initialization through searched self-play on a single eight-GPU node for 2.5 days, and investigates search allocation, replay and restart-state selection, policy representation, progressive model sizing, quantized inference, and throughput engineering.
Natural spoken interaction requires more than streaming ASR, language generation, and speech synthesis: a system must react to overlap without canceling on every acknowledgment, prepare a response before a turn is certain, and ensure canceled audio cannot enter conversation history. We present Voice-Light, a full-duple...
We present a traffic-signal control interface in which a shared graph neural network assigns scores to individual traffic movements. Each junction converts these scores into its own variable-sized set of legal signal phases using a deterministic incidence matrix. Directed corridor nodes provide traffic context, while m...
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