Searched for: subject%3A%22Q%255C-learning%22
(1 - 1 of 1)
document
Naruta, Anton (author)
This paper describes an implementation of a reinforcement learning-based framework applied to the control of a multi-copter rotorcraft. The controller is based on continuous state and action Q-learning. The policy is stored using a radial basis function neural network. Distance-based neuron activation is used to optimize the generalization...
master thesis 2017