HOList: An Environment for Machine Learning of Higher-Order Theorem Proving

5 Apr 2019Kshitij BansalSarah M. LoosMarkus N. RabeChristian SzegedyStewart Wilcox

We present an environment, benchmark, and deep learning driven automated theorem prover for higher-order logic. Higher-order interactive theorem provers enable the formalization of arbitrary mathematical theories and thereby present an interesting, open-ended challenge for deep learning... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Automated Theorem Proving HOList benchmark Deeper Wider WaveNet Percentage correct 32.65 # 4
Automated Theorem Proving HOList benchmark Tactic Dependent Loop Percentage correct 38.88 # 2