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About Reinforcement Learning of Theorem Proving
This document introduces a theorem proving algorithm that uses reinforcement learning to guide proof search, without relying on human-designed heuristics. It describes a "bare prover" that performs random connection tableau proofs, and enhances it with Monte Carlo tree search and reinforcement learning from previous proof attempts. The enhanced system, called rlCoP, is evaluated on a large corpus of mathematics problems, solving over 40% more problems than the baseline prover using the same number of inferences.
Detailed Information
| Author: | ['Dorsaf Aribi'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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