Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing.
Anurag AjayJiajun WuNima FazeliMaria BauzáLeslie Pack KaelblingJoshua B. TenenbaumAlberto RodriguezPublished in: CoRR (2018)
Keyphrases
- case study
- neural network
- pattern recognition
- real world
- monte carlo
- hopfield neural network
- artificial neural networks
- neural nets
- fuzzy logic
- recurrent neural networks
- lessons learned
- stochastic nature
- fuzzy systems
- fault diagnosis
- back propagation
- software development
- expert systems
- neural network is trained
- genetic algorithm
- stochastic optimization
- stochastic model
- ground plane
- multi layer
- feed forward
- neural network model
- self organizing maps
- software engineering
- d objects
- training process
- development process
- physical world
- radial basis function
- curved surfaces
- learning automata
- design process
- three dimensional
- business process