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AN
Researcher

Ansh Nagda

Researcher at Google DeepMind

Website

Ansh Nagda is a researcher who previously worked on AI and mathematics at Google DeepMind and completed a PhD in Theoretical Computer Science at UC Berkeley.

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AlphaEvolve1

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Abhradeep Guha ThakurtaResearcher
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HåstadResearcher
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Prabhakar RaghavanResearcher
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Ansh Nagda as author

Reinforced Generation of Combinatorial Structures: Applications to Complexity Theory
Google DeepMind & GoogleresearchpositiveOct 12, 2025

AlphaEvolve, an LLM code mutation agent, achieves new near-optimal results in complexity theory including improved inapproximability bounds for MAX-CUT, MAX-Independent Set, MAX-4-CUT, MAX-3-CUT, and metric TSP, with the system also evolving faster verification procedures up to 10,000× speedup.

“One of the authors of the paper on reinforced generation of combinatorial structures”

AI ResearchReinforcement LearningComplexity TheoryFoundation Models