Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks.
Jing ShiJiaming XuYiqun YaoBo XuPublished in: CoRR (2018)
Keyphrases
- concept learning
- neural network
- reinforcement learning
- auto associative
- artificial neural networks
- function approximators
- inductive logic programming
- associative memory
- back propagation
- function approximation
- reinforcement learning algorithms
- neural network model
- state space
- memory requirements
- feature construction
- negative examples
- learning classifier systems
- markov decision processes
- learning capabilities
- inductive learning
- concept detection
- optimal policy
- expert systems
- learning algorithm
- genetic algorithm
- temporal difference
- software engineering
- relational databases
- knowledge base
- constructive induction