The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning.
Yujin TangDavid HaPublished in: CoRR (2021)
Keyphrases
- neural network
- reinforcement learning
- fuzzy logic
- fault diagnosis
- function approximation
- activation function
- function approximators
- pattern recognition
- state space
- neural network model
- artificial neural networks
- reinforcement learning algorithms
- learning capabilities
- self organizing maps
- machine learning
- multi layer
- optimal policy
- back propagation
- neural model
- neural models
- feed forward neural networks
- learning algorithm
- power transformers
- invariant features
- moment invariants
- model free
- learning classifier systems
- affine transformation
- neural nets
- soft computing
- feed forward
- dynamic programming
- decision making
- genetic algorithm
- fuzzy systems
- training algorithm
- affine invariant
- recurrent neural networks
- radial basis function
- markov decision processes
- power system
- expert systems
- partial discharge