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loss_table_list in /examples/inverse_2_player_dubins_car.jl is an array of the loss values at each iteration. So, we can plot the loss values vs. gradient descent iterations. Note that the "loss_table_list" has three arguments. The first argument loss_table_list[ii][:][:] corresponds to the ii-th ground truth trajectory's corresponding loss values, under different noise level and different gradient descent iteration. Fixing the first argument [ii] and the second argument [jj], loss_table_list[ii][jj][:] represents the loss values at each iteration under the ii-th ground truth trajectory and jj-th noise level.
good job.how to visualize?
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