Improved Stochastic Recurrent Networks for Nonlinear State Space System Identification.
Xinpeng LiuXiaocong DuXianqiang YangChao CaiPublished in: IECON (2023)
Keyphrases
- recurrent networks
- state space
- recurrent neural networks
- nonlinear dynamics
- state transition
- heuristic search
- neural network
- feed forward
- stochastic domains
- dynamical systems
- input output
- monte carlo
- optimal policy
- markov chain
- dynamic programming
- continuous state spaces
- markov decision processes
- planning problems
- particle filter
- stochastic model
- stochastic programming
- dynamic systems
- nonlinear models
- stochastic optimization
- linear programming
- objective function