Multi-objective pruning of dense neural networks using deep reinforcement learning.
Lior HirschGilad KatzPublished in: Inf. Sci. (2022)
Keyphrases
- multi objective
- reinforcement learning
- neural network
- genetic algorithm
- evolutionary algorithm
- multi objective optimization
- function approximators
- optimization algorithm
- multiple objectives
- function approximation
- multiobjective optimization
- objective function
- particle swarm optimization
- pattern recognition
- nsga ii
- state space
- model free
- fuzzy logic
- learning classifier systems
- conflicting objectives
- temporal difference
- machine learning
- reinforcement learning algorithms
- learning capabilities
- neural nets
- multi objective evolutionary
- markov decision processes
- pareto optimal
- pruning algorithm
- search space
- multi layer
- pruning method
- learning algorithm
- stereo correspondence
- bi objective
- artificial neural networks
- back propagation
- optimal policy
- learning process
- deep learning
- multi agent
- action selection
- feed forward
- optimum design
- optimal control
- multiagent evolutionary algorithm