data-driven-dynamics
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Adapt QP Optimizer for unconstraint parameters
Currently the QP optimizer requires all parameters to be either fixed or bounded. We sould add the option for unconstraint parameters as well.
@Jaeyoung-Lim what do you thing about just not specifying bounds for certain parameters in the config? I guess thats the easiest way.
@Jaeyoung-Lim what do you thing about just not specifying bounds for certain parameters in the config? I guess thats the easiest way.
Yes, I think that would work great. If you still have to pass somekind of a upper bound to the optimizer, you can pass something link FLOAT32_MAX
(not sure how this is defined in python)
I think this is handled by the cvxpy library. So we do not need to worry about that.
@manumerous Hmm... then why do we need it in the first place?