The paper is focused on statistical inverse analysis of material model parameters, where statistical parameters of input parameters have to be identified based on experim [...]

This paper describes the nonlinear analysis of the reinforced concrete wall of the bubbler tower (BT) due to extreme pressure and temperature loading. The behaviour of th [...]

Corrosion of reinforcing steel in concrete is one of the most influencing factors causing the degradation of reinforced concrete structures, conducting to concrete crack [...]

Abstrakt: A great intention is lately focused on Reinforcement Learning (RL) methods. The article is focused on improving model free RL method known as Q-Iearning algorit [...]

Modifications of reinforcement learning algorithm, so called continuous action reinforcement learning automaton (CARLA), are presented in this contribution. Automaton lea [...]

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 [...]

Algorithm of locally weighted regression is presented in this contribution. Local approximator repeatedly uses the locally linear model based on least square method. Simu [...]

Asynchronous electric motor control task can be successfully solved using reinforcement learning based method called Q-learning. The main problem to solve is the converge [...]

Q-learning is the most popular and effective version of Reinforcement Learning algorithms. In this paper we discuss the possibility of control of a nonstationary system b [...]

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