Re-evaluation plan for Gyoomard is to assess the results of different stages step by step. This would mean to start off with no control and run the biped simulation as a Passive Dynamic Walker, then add a very simple control with a simple neural network. Finally achieving the full problem configuration.
Another main area for investigation the exact mechanism for the GA. It seems currently that the solver falls into local maximum points.
One other feature which can be added in the step by step progression is a support to help Gyoomard in the walking process. The support will be used for learning and then taken out at some future stage.
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