Adaptive reinforcement learning through evolving self-modifying neural networks.
Samuel SchmidgallPublished in: GECCO Companion (2020)
Keyphrases
- neural network
- reinforcement learning
- pattern recognition
- learning capabilities
- function approximation
- connectionist systems
- artificial neural networks
- adaptive control
- fuzzy logic
- genetic algorithm
- back propagation
- recurrent neural networks
- learning algorithm
- learning classifier systems
- data sets
- multi agent
- neural fuzzy
- reinforcement learning algorithms
- temporal difference
- action selection
- optimal control
- neural nets
- feed forward
- fault diagnosis
- supervised learning
- state space
- hidden markov models