GamePad: A Learning Environment for Theorem Proving
June 02, 2018 ยท Declared Dead ยท ๐ International Conference on Learning Representations
"No code URL or promise found in abstract"
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Authors
Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever
arXiv ID
1806.00608
Category
cs.LG: Machine Learning
Cross-listed
cs.AI,
cs.LO,
stat.ML
Citations
120
Venue
International Conference on Learning Representations
Last Checked
4 months ago
Abstract
In this paper, we introduce a system called GamePad that can be used to explore the application of machine learning methods to theorem proving in the Coq proof assistant. Interactive theorem provers such as Coq enable users to construct machine-checkable proofs in a step-by-step manner. Hence, they provide an opportunity to explore theorem proving with human supervision. We use GamePad to synthesize proofs for a simple algebraic rewrite problem and train baseline models for a formalization of the Feit-Thompson theorem. We address position evaluation (i.e., predict the number of proof steps left) and tactic prediction (i.e., predict the next proof step) tasks, which arise naturally in tactic-based theorem proving.
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