Standard algorithm of Q-Learning is limited by discrete states and actions and Qfunction is u sually represented as discrete table. To avoid this obstacle and extend the [...]

Locally Weighted Learning (LWR) is a class of approximations, based on a local model. In this paper we demonstrate using LWR together with Q-learning for control tasks. Q [...]

The creation of direct kinematic model is relatively simply in contrast with creation of analytic inverse model. With using of approximating methods is inverse modelling [...]