Optimal control using adaptive resonance theory and Q-learning.
Bahare KiumarsiBakur AlQaudiHamidreza ModaresFrank L. LewisDaniel S. LevinePublished in: Neurocomputing (2019)
Keyphrases
- optimal control
- adaptive resonance theory
- reinforcement learning
- neural network
- art neural network
- dynamic programming
- fuzzy artmap
- fuzzy art
- function approximation
- policy iteration
- rl algorithms
- control problems
- state space
- actor critic
- feedback control
- infinite horizon
- reinforcement learning algorithms
- learning algorithm
- control strategy
- optimal policy
- model free
- optimal control problems
- learning rate
- incremental learning
- action selection
- control law
- linear quadratic
- average reward
- web usage data
- machine learning
- real time