Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations.
Dmitry IvanovMikhail KiselevDenis LarionovPublished in: CoRR (2022)
Keyphrases
- learning tasks
- neural network
- learning problems
- transfer learning
- meta learning
- learning algorithm
- machine learning
- learning experience
- function approximation
- supervised learning
- reinforcement learning
- machine learning algorithms
- metric learning
- high dimensional
- multi task learning
- learning models
- multitask learning
- kernel methods
- multi task
- multi label
- real world
- hypothesis space
- function approximators
- knn
- object recognition