Evolutionary reinforcement learning of artificial neural networks.
Nils T. SiebelGerald SommerPublished in: Int. J. Hybrid Intell. Syst. (2007)
Keyphrases
- artificial neural networks
- reinforcement learning
- genetic algorithm
- evolutionary computation
- computational intelligence
- neural network
- back propagation
- function approximation
- learning algorithm
- learning classifier systems
- evolutionary algorithm
- markov decision processes
- evolutionary artificial neural networks
- feed forward neural networks
- using artificial neural networks
- neural network model
- state space
- genetic algorithm ga
- evolutionary process
- evolutionary methods
- multilayer perceptron
- temporal difference
- recurrent neural networks
- optimal control
- model free
- machine learning
- artificial intelligence
- temporal difference learning
- evolutionary optimization
- multi agent reinforcement learning
- multi layer perceptron
- optimal policy
- application of artificial neural networks
- multi agent
- optimization algorithm
- population dynamics
- autonomous learning
- soft computing
- mutation rate
- policy search
- learning capabilities
- reinforcement learning algorithms
- action selection
- feed forward
- fitness function
- multi objective
- feature selection
- data mining