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FLAIRS
2004
15 years 7 months ago
Multimodal Function Optimization Using Local Ruggedness Information
In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...
Jian Zhang 0007, Xiaohui Yuan, Bill P. Buckles
FBIT
2007
IEEE
16 years 20 days ago
Learning to Drive a Real Car in 20 Minutes
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...
IJOE
2008
122views more  IJOE 2008»
15 years 4 months ago
Mixed Reality Environment for Web-Based Laboratory Interactive Learning
: 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...
Kasim M. Al-Aubidy
AMC
2008
66views more  AMC 2008»
15 years 6 months ago
New third order nonlinear solvers for multiple roots
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...
B. Neta
AI
1998
Springer
15 years 6 months ago
Model-Based Average Reward Reinforcement Learning
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...
Prasad Tadepalli, DoKyeong Ok