Reinforcement learning to train a cooperative network with both discrete and continuous output neurons.
Satoshi YamadaMichio NakashimaSatoru ShionoPublished in: IEEE Trans. Neural Networks (1998)
Keyphrases
- cooperative
- reinforcement learning
- continuous state spaces
- neural network
- input patterns
- continuous state
- discrete space
- continuous domains
- multi agent
- spiking neural networks
- continuous functions
- continuous space
- spiking neurons
- network architecture
- continuous state and action spaces
- sensory inputs
- hidden nodes
- connection weights
- lateral inhibition
- markov decision processes
- network structure
- wireless sensor networks
- multilayer neural network
- neuronal networks
- hopfield network
- number of hidden layers
- continuous valued
- multi agent reinforcement learning
- complex networks
- dynamic programming
- hidden units
- discrete data
- network traffic