Application of the probabilistic RBF neural network in the reinforcement learning of a mobile robot

The paper presents the application of the reinforcement learning for the autonomous mobile robot moving learning in an unknown, stationary environment. The robot movement policy was represented by a probabilistic RBF neural network. The network proved to be very attractive tool, which enabled efficient, simple and fast approximation of the state value function.