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