This is Reinforcement Learning for Graph Theory (RLGT), a reinforcement learning framework that aims to facilitate future research in extremal graph theory.
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Updated
Mar 16, 2026 - Python
This is Reinforcement Learning for Graph Theory (RLGT), a reinforcement learning framework that aims to facilitate future research in extremal graph theory.
A small website of precise open quantum problems to leverage AI
A Machine-Certified Proof of Frankl’s Conjecture via Collision-Restitution Invariants.
A Machine-Verified Constructive Proof of Lemoine's Conjecture.
Semester project aiming at reproducing the results disproving the conjecture about the additivity of the unknotting number under connected sum, disproved Nov 2025 by Brittenham and Hermiller. The code implements a randomized search for "good" crossing changes.
A Lean 4 self-modeling proof framework for the Perfect Cuboid problem, operating at the critical edge where algebra closes and descent begins
A Lean 4 structural encoding of the Beal Conjecture using the 12-primitive Imscribing Grammar.
Millennium Prize Problems
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