Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking.
Xingping DongJianbing ShenWenguan WangLing ShaoHaibin LingFatih PorikliPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2021)
Keyphrases
- reinforcement learning
- real time
- global optimization
- target tracking
- neural network
- constrained optimization
- optimization process
- particle filter
- optimization algorithm
- optimization method
- motion tracking
- model free
- kalman filter
- markov decision processes
- state space
- object tracking
- mean shift
- function approximation
- hyperparameters
- gaussian process
- dynamic programming
- moving target
- multi objective
- evolutionary algorithm
- machine learning