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results.txt
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results.txt
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bin/learn scene1_run1 helbing abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.70394668 0.48965865 0.22278495 0.46374599]
bin/learn scene1_run1 anisotropic abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.25858338 0.618897 0.74168804]
bin/learn scene1_run1 kimlike abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.31085343 0.31085343 0.34539522 0.34539522 0.34539522 0.27976605 0.33792383 0.29578112 0.33391688 0.23957922]
bin/learn scene1_run1 icra14 abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.22161298 0.22161724 0.24288932 0.33559997 0.33559997 0.22620916 0.33559997 0.33559997 0.21028775 0.33559997 0.33559997 0.22578409 0.14368102]
bin/learn scene1 helbing abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.69480197 0.48194186 0.27821213 0.45560978]
bin/learn scene1 icra14 abbeel 3.0 10 --ids=1 --delta=1.0 [0.21840759 0.22829329 0.23603535 0.33636307 0.33636307 0.2295304 0.33636307 0.33636307 0.21459902 0.33636307 0.33636307 0.23158273 0.11514953]
helbing abbeel sum_prior unormalized Result: [ 0.65391863 0.46360015 0.4606757 0.38110789]
helbing abbeel sum_prior normalized Result: [ 0.69935969 0.48678205 0.24577558 0.46209699]
helbing abbeel cnt_prior normalized Result: [ 0.69630872 0.48486378 0.25993291 0.46097305]
helbing abbeel cnt_prior unormalized Result: [ 0.66528 0.44945793 0.46185832 0.376931 ]
helbing abbeel cnt_prior1 unormalized Result: [ 0.65227336 0.46456198 0.46217339 0.38094276]
===========================================================================================
### These are the final results for the max margin algorithm, please ignore those above ###
===========================================================================================
bin/learn scene1 helbing abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.66005113 0.49142668 0.4914536 0.2851415 ]
bin/learn scene1 icra14 abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.24251116 0.24229685 0.22492044 0.32688654 0.32688654 0.24322253 0.32688654 0.32688654 0.2433879 0.32688654 0.32688654 0.24326213 0.11485279]
bin/learn scene1 anisotropic abbeel 3.0 10 --ids=1 --delta=1.0 [ 2.63774998e-51 6.22382432e-18 1.00000000e+00]
bin/learn scene1 kimlike abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.29000256 0.30931118 0.29347245 0.41793941 0.41793941 0.29881627 0.30956525 0.30359564 0.28205454 0.16704923]
bin/learn scene2 helbing abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.64889811 0.61027333 0.38662645 0.23878379]
bin/learn scene2 icra14 abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.22285505 0.22100805 0.31721272 0.31721272 0.31721272 0.22247312 0.31721272 0.31721272 0.22304481 0.31721272 0.31721272 0.22253512 0.21990575]
bin/learn scene2 anisotropic abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.3144152 0.62092948 0.71804572]
bin/learn scene2 kimlike abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.27754761 0.27590068 0.39317187 0.39317187 0.39317187 0.27771237 0.2772208 0.27736735 0.27736786 0.2743222 ]
bin/learn scene3 helbing abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.72774354 0.62013496 0.1187665 0.26779936]
bin/learn scene3 icra14 abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.28116044 0.27900787 0.27378156 0.38515705 0.27026644 0.27995728 0.27026925 0.27026925 0.28125711 0.27026644 0.27017595 0.279608 0.13771336]
bin/learn scene3 anisotropic abbeel 3.0 10 --ids=1 --delta=1.0 [ 5.19654747e-25 6.47586892e-10 1.00000000e+00]
bin/learn scene3 kimlike abbeel 3.0 10 --ids=1 --delta=1.0 [ 0.33648667 0.33069791 0.31709054 0.32271877 0.32272156 0.33373093 0.329201 0.33272463 0.32948391 0.17192334]
anisotropic max_ent 3.0_10 -> [ 2.12194258e-50 6.07366924e-18 1.00000000e+00]
helbing max_ent 3.0_10 -> [ 0.44645338 0.29674126 0.01216401 0.24464134]
icra14 max_ent 3.0_10 -> [ 0.0585048 0.06619533 0.08826146 0.08883779 0.08883716 0.06883013
0.08883956 0.08883716 0.05437693 0.08883949 0.08883716 0.07179987
0.05900316]
kimlike max_ent 3.0_10 -> [ 0.08906001 0.09815544 0.1231114 0.12374328 0.12374328 0.07028329
0.11343157 0.08385849 0.11313953 0.06147371]
anisotropic max_ent 3.0_10 -> [ 2.52611852e-05 8.02057315e-03 9.91954166e-01]
helbing max_ent 3.0_10 -> [ 0.34995455 0.32384623 0.17196566 0.15423356]
icra14 max_ent 3.0_10 -> [ 0.05663639 0.08165422 0.08353111 0.0836025 0.08353111 0.07556628
0.08360577 0.08353111 0.0626868 0.08353997 0.08353111 0.08062757
0.05795607]
kimlike max_ent 3.0_10 -> [ 0.08949216 0.11078267 0.11225044 0.11225044 0.11225044 0.08832197
0.10624496 0.09526925 0.10994709 0.06319059]
anisotropic max_ent 3.0_10 -> [ 7.31908899e-24 2.10157157e-10 1.00000000e+00]
helbing max_ent 3.0_10 -> [ 0.16453757 0.11837344 0.00298142 0.71410757]
icra14 max_ent 3.0_10 -> [ 0.05283029 0.07788069 0.08665583 0.08665594 0.08665583 0.07708212
0.08665735 0.08665583 0.05683806 0.08646471 0.08665583 0.0766365
0.05233102]
kimlike max_ent 3.0_10 -> [ 0.0825182 0.11088062 0.12019971 0.11999779 0.12019971 0.07624865
0.11298626 0.08662982 0.11236105 0.05797819]