Applying Neural Network to Reinforcement Learning in Continuous Spaces.
Dongli WangYang GaoPei YangPublished in: ISNN (1) (2005)
Keyphrases
- neural network
- reinforcement learning
- function approximation
- robotic control
- back propagation
- neural network model
- optimal policy
- artificial neural networks
- state space
- action space
- markov decision processes
- recurrent neural networks
- genetic algorithm
- network model
- discrete data
- function approximators
- machine learning
- image reconstruction from projections
- continuous domains
- network architecture
- training algorithm
- transfer learning
- fuzzy logic
- learning process
- associative memory
- activation function
- reinforcement learning algorithms
- prediction model
- robot control
- continuous functions
- mobile robot
- fuzzy artmap
- continuous state spaces
- neural network is trained
- expert systems
- continuous state and action spaces