Dear all, Last week, we have
1. Finished implementing double pole testing of NEAT (both Markov and Non-Markov version). 2. Tuned the parameters and both version of double pole testing are succeed. The Markov version passed within about 30 iterations; the Non-Markov version takes much more iterations to success (around 10000 with 500 population size). 3. Cleaned the code to adapt its style to the mlpack project. Now I am in the progress of designing the HyperNEAT algorithm implementation while making fine-tune revisions to previous codes. Best, Bang
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