  The RNA Inverse Folding problem comes from computational biology. The goal is
to find a molecule that has a given folding. It is important for scientific
fields such as bioengineering, pharmaceutical research, biochemistry, synthetic
biology and RNA nanostructures. Nested Monte Carlo Search has given excellent
results for this problem. We propose to adapt and evaluate different Monte
Carlo Search algorithms for the RNA Inverse Folding problem.
