A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving.
Maxwell CrouseIbrahim AbdelazizBassem MakniSpencer WhiteheadCristina CornelioPavan KapanipathiKavitha SrinivasVeronika ThostMichael WitbrockAchille FokouePublished in: AAAI (2021)
Keyphrases
- theorem proving
- first order logic
- reinforcement learning
- expressive power
- theorem prover
- inference rules
- propositional logic
- knowledge representation
- decision procedures
- term rewriting
- proof planning
- transitive closure
- proof procedure
- predicate calculus
- inductive logic programming
- probabilistic reasoning
- learning algorithm
- automated reasoning
- markov logic networks
- formal semantics
- consequence finding
- constraint databases
- quantifier elimination
- supervised learning
- machine learning