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Reinforcement Learning and Control
 

Summary: Reinforcement Learning
and Control
Nonlinear Regression Function Approximation
RL
Prediction of
software error
severity from
test cae
features
Prediction of
branch coverage
in VHDL models
Generation of
new test cases by
inverting the
neural networks
Comparison of
nonlinear and
linear regression
on public

  

Source: Anderson, Charles W. - Department of Computer Science, Colorado State University

 

Collections: Computer Technologies and Information Sciences