In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
: This paper presents a web-based laboratory for distance learners by incorporating simulation and hardware implementation into web-based e-learning systems. It presents a developm...
ct 7 Two third order methods for finding multiple zeros of nonlinear functions are developed. One method is based on 8 Chebyshev's third order scheme (for simple roots) and th...
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...