A Differential Game Theoretic Neural Optimizer for Training Residual Networks.
Guan-Horng LiuTianrong ChenEvangelos A. TheodorouPublished in: CoRR (2020)
Keyphrases
- game theoretic
- game theory
- recurrent networks
- decision problems
- neural network
- nash equilibrium
- network structure
- solution concepts
- imperfect information
- nash equilibria
- social networks
- rational agents
- network architecture
- training set
- trust model
- spiking neural networks
- recurrent neural networks
- agent behavior
- feed forward
- spiking neurons
- minority game
- pure nash equilibrium