Concept learning through deep reinforcement learning with memory-augmented neural networks.
Jing ShiJiaming XuYiqun YaoBo XuPublished in: Neural Networks (2019)
Keyphrases
- concept learning
- neural network
- reinforcement learning
- auto associative
- function approximators
- function approximation
- genetic algorithm
- back propagation
- neural network model
- inductive logic programming
- constructive induction
- learning classifier systems
- learning algorithm
- associative memory
- state space
- learning capabilities
- negative examples
- feature construction
- artificial neural networks
- inductive learning
- reinforcement learning algorithms
- radial basis function
- transfer learning
- learning problems
- data sets
- markov decision processes
- natural language
- imbalanced data sets