Another approach for using neural networks to solve mathematical problems is transforming a mathematical formula into a binary sequence of symbols. A neural network policy can then probabilistically and sequentially grow the sequence one binary character at a time6. By designing a reward that measures the ability to refute the conjecture, this approach can find a refutation to a mathematical conjecture without prior knowledge about the mathematical problem.
A nice idea to learn a formula of symbols which can be evaluated logically for truth. But do they mention more general approaches such as using SAT solvers for this task? See Vijay Ganesh work.