Neuro-Symbolic Reinforcement Learning with First-Order Logic.
Daiki KimuraMasaki OnoSubhajit ChaudhuryRyosuke KohitaAkifumi WachiDon Joven AgravanteMichiaki TatsuboriAsim MunawarAlexander GrayPublished in: CoRR (2021)
Keyphrases
- first order logic
- reinforcement learning
- expressive power
- propositional logic
- inference rules
- knowledge representation
- transitive closure
- theorem prover
- inductive logic programming
- horn clauses
- theorem proving
- probabilistic graphical models
- probabilistic reasoning
- representation language
- markov networks
- relational algebra
- state space
- bayesian networks
- logical rules
- learning algorithm
- predicate calculus
- quantifier elimination
- markov decision processes
- optimal policy
- database
- relational structures
- dl lite
- constraint databases
- database systems
- artificial intelligence
- anti unification
- quantifier free