Adaptive Dynamic Programming for Model-free Tracking of Trajectories with Time-varying Parameters.
Florian KöpfSimon RamsteinerMichael FladSören HohmannPublished in: CoRR (2019)
Keyphrases
- model free
- dynamic programming
- reinforcement learning
- reinforcement learning algorithms
- function approximation
- particle filter
- temporal difference
- tracking error
- kinematic model
- linear programming
- kalman filter
- multiple targets
- policy iteration
- particle filtering
- neural network
- motion model
- image classification
- state space
- feature selection