Back to articles
AIOpenAI News

GamePad: A learning environment for theorem proving

OpenAI June 2, 2018 Publication GamePad: A learning environment for theorem proving Read paper (opens in a new window) Loading… Share Abstract In this paper, we introduce a system called GamePad that can b...

The RSS feed only provided an excerpt. FlowMarket recovered the public content available from the original page without bypassing restricted content.

June 2, 2018

GamePad: A learning environment for theorem proving

Gamepad A Learning Environment For Theorem Proving

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.

  • Exploration & Games

Authors

Related articles

Jetbrains > Hero > Media item > Asset

Mar 21, 2024

Unload

Mar 18, 2024

Screenshot 2024 03 12 At 1128 27am

Mar 18, 2024

Need an n8n workflow or help installing it?

After the briefing, move to execution: find an n8n template or a creator who can adapt it to your tools.

Source

OpenAI News - openai.com

View original publication