An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations
Using reinforcement learning for automated theorem proving has recently received much attention. Current approaches use representations of logical statements that often rely on the names used in these statements and, as a result, the models are generally not transferable from one domain to another.…