Optimal tracking control for discrete-time systems by model-free off-policy Q-learning approach.

Jinna Li Decheng Yuan Zhengtao Ding

Published in: ASCC (2017)

Keyphrases

model free
reinforcement learning
tracking control
function approximation
reinforcement learning algorithms
dynamic programming
policy iteration
nonlinear systems
temporal difference
average reward
artificial neural networks
state space
sufficient conditions
input output
learning rate
control law