Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets.
Edo Cohen-KarlikItamar Menuhin-GrumanRaja GiryesNadav CohenAmir GlobersonPublished in: ICLR (2023)
Keyphrases
- neural nets
- feed forward
- low dimensional
- learning tasks
- reinforcement learning
- learning process
- state space
- learning algorithm
- prior knowledge
- high dimensional
- feature selection
- expert systems
- decision making
- back propagation
- neural network
- artificial neural networks
- artificial intelligence
- single layer
- recurrent networks