Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning.
Matthew MullerSteve KroonStephan K. ChalupPublished in: ICONIP (9) (2023)
Keyphrases
- neural network
- reinforcement learning
- reeb graph
- functional brain
- artificial neural networks
- function approximators
- function approximation
- recurrent networks
- graph matching
- topological information
- model free
- back propagation
- dynamic model
- topological features
- markov decision processes
- neural network model
- state space
- dynamical systems
- learning capabilities
- temporal difference
- neural network is trained
- graph theoretic
- machine learning
- network model
- recurrent neural networks
- fuzzy logic
- pattern recognition
- learning algorithm
- graph theory
- bp neural network
- fault diagnosis
- learning process
- network architecture
- multi layer perceptron
- activation function
- graph structure
- feed forward
- nonlinear dynamics
- mobile robot