Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis.
Rudy BunelMatthew J. HausknechtJacob DevlinRishabh SinghPushmeet KohliPublished in: CoRR (2018)
Keyphrases
- program synthesis
- reinforcement learning
- fitted q iteration
- network architecture
- function approximation
- neural network
- natural language
- inductive logic programming
- recursive programs
- sensory inputs
- reinforcement learning algorithms
- model free
- multi agent
- state space
- transfer learning
- context free grammars
- machine learning
- associative memory
- markov decision processes
- information extraction
- mobile robot
- feature space