Approximate Fixed-Points in Recurrent Neural Networks.
Zhengxiong WangAnton RagniPublished in: CoRR (2021)
Keyphrases
- recurrent neural networks
- fixed point
- approximate value iteration
- neural network
- feed forward
- sufficient conditions
- echo state networks
- temporal difference learning
- reservoir computing
- artificial neural networks
- belief propagation
- initial conditions
- asymptotic properties
- recurrent networks
- linear logic
- dynamical systems
- nonlinear dynamic systems
- policy iteration
- free energy
- markov random field
- support vector
- knowledge base