math.COMar 10, 2026

Reinforced Generation of Combinatorial Structures: Ramsey Numbers

Authors: Ansh Nagda, Prabhakar Raghavan, Abhradeep Thakurta

Organizations: University of California, Berkeley, and Google DeepMind. · Google. · Google DeepMind.

Abstract

We present improved lower bounds for nine classical Ramsey numbers: R(3,13)\mathbf{R}(3, 13) is increased from 6060 to 6161, R(3,18)\mathbf{R}(3, 18) from 9999 to 100100, R(4,13)\mathbf{R}(4, 13) from 138138 to 139139, R(4,14)\mathbf{R}(4, 14) from 147147 to 148148, R(4,15)\mathbf{R}(4, 15) from 158158 to 159159, R(4,16)\mathbf{R}(4, 16) from 170170 to 174174, R(4,18)\mathbf{R}(4, 18) from 205205 to 209209, R(4,19)\mathbf{R}(4, 19) from 213213 to 219219, and R(4,20)\mathbf{R}(4, 20) from 234234 to 237237. These results were achieved using AlphaEvolve, an LLM-based code mutation agent. Beyond these new results, we successfully recovered lower bounds for all Ramsey numbers known to be exact, and matched the best known lower bounds across many other cases. These include bounds for which previous work does not detail the algorithms used. Virtually all known Ramsey lower bounds are derived computationally, with bespoke search algorithms each delivering a handful of results. AlphaEvolve is a single meta-algorithm yielding search algorithms for all of our results.

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