twanghcmut's picture
download
raw
4.8 kB
{"event": "baseline", "loss": 0.5520296393922953, "target_actor": "stapler", "target_selection": "video_worst_observed_actor", "actor_losses": [0.4134500525030166, 0.7859642350793294, 0.8262487497362245, 0.3111668240523423, 0.5663019371629683, 0.7067378357081492, 0.4531659496007084, 0.4564723988134241, 0.42904500420302133]}
{"event": "sensitivity", "block": "left_wrist", "sign": -1, "loss": 0.5526117116762147, "actor_losses": [0.4170632143881845, 0.7859642350793294, 0.8262487497362245, 0.3111668240523423, 0.5663019371629683, 0.7067378357081492, 0.4531659496007084, 0.4564723988134241, 0.42904500420302133], "stable": true}
{"event": "sensitivity", "block": "left_wrist", "sign": 1, "loss": 0.5565913713585618, "actor_losses": [0.450508527198434, 0.7859642350793294, 0.8262487497362245, 0.3111668240523423, 0.5663019371629683, 0.7067378357081492, 0.4531659496007084, 0.4564723988134241, 0.42904500420302133], "stable": true}
{"event": "sensitivity", "block": "right_wrist", "sign": -1, "loss": 0.5641770249631337, "actor_losses": [0.4134500525030166, 0.8072941155462445, 0.8568115525245059, 0.3111668240523423, 0.5871113817626767, 0.7079506436939115, 0.47086028632875065, 0.4519616200760385, 0.4507607104273875], "stable": true}
{"event": "sensitivity", "block": "right_wrist", "sign": 1, "loss": 0.5599778460772855, "actor_losses": [0.4134500525030166, 0.7895807311286833, 0.8573217823604373, 0.3111668240523423, 0.5683649920641024, 0.7115975832978171, 0.46843153745956445, 0.4559282685281077, 0.4406111000009906], "stable": true}
{"event": "sensitivity", "block": "stapler_pose", "sign": -1, "loss": 0.5599660188199963, "actor_losses": [0.4134500525030166, 0.7842605095208943, 0.8729189344198709, 0.3111668240523423, 0.5730445756704075, 0.7073874458658194, 0.4569308037504033, 0.452974737756239, 0.44768822161633753], "stable": true}
{"event": "sensitivity", "block": "stapler_pose", "sign": 1, "loss": 0.5629880253452494, "actor_losses": [0.4134500525030166, 0.7881283268154696, 0.7968963398808285, 0.3111668240523423, 0.5643117914913683, 0.6870882659510688, 0.4952198290736728, 0.4595507020549745, 0.5306246251661925], "stable": true}
{"event": "sensitivity", "block": "stapler_friction", "sign": -1, "loss": 0.564800712780237, "actor_losses": [0.4134500525030166, 0.799427109135698, 0.7986546818571614, 0.3111668240523423, 0.5602227350603157, 0.7116619057676977, 0.48939574704650385, 0.46237078368118206, 0.5171428082467414], "stable": true}
{"event": "sensitivity", "block": "stapler_friction", "sign": 1, "loss": 0.5613191444026734, "actor_losses": [0.4134500525030166, 0.7817191849160363, 0.8549363189240682, 0.3111668240523423, 0.5833497257909339, 0.7075489447166191, 0.47264638289069366, 0.45336416723581446, 0.45397693092306285], "stable": true}
{"event": "sensitivity", "block": "popit_pose", "sign": -1, "loss": 0.5608128813160483, "actor_losses": [0.4134500525030166, 0.7891385475581519, 0.8011596527371618, 0.3111668240523423, 0.5829345509602394, 0.7082416234207498, 0.4793000909545256, 0.4613205261054319, 0.4801246490448168], "stable": true}
{"event": "sensitivity", "block": "popit_pose", "sign": 1, "loss": 0.5583284702736225, "actor_losses": [0.4134500525030166, 0.7811605078556209, 0.856075098237322, 0.3111668240523423, 0.5612828627946674, 0.7074678671399202, 0.47065001833981324, 0.4535377415238531, 0.45031713918109667], "stable": true}
{"event": "sensitivity", "block": "popit_friction", "sign": -1, "loss": 0.560197468091326, "actor_losses": [0.4134500525030166, 0.7813316188826142, 0.8564779907992284, 0.3111668240523423, 0.577664192728575, 0.7074678671399202, 0.47065001833981324, 0.4535377415238531, 0.45031713918109667], "stable": true}
{"event": "sensitivity", "block": "popit_friction", "sign": 1, "loss": 0.5321270250812775, "actor_losses": [0.4134500525030166, 0.7946585124402529, 0.6476298079658185, 0.3111668240523423, 0.5915370592798402, 0.707507875024362, 0.4583612999147286, 0.44525741642893435, 0.3998606104507278], "stable": true}
{"event": "block_selected", "block": "popit_friction", "reason": "combined_objective_improvement", "target_actor": "stapler"}
{"event": "block_cem", "block": "popit_friction", "iteration": 1, "loss": 0.5321270250812775}
{"event": "block_cem", "block": "popit_friction", "iteration": 2, "loss": 0.5321270250812775}
{"event": "block_cem", "block": "popit_friction", "iteration": 3, "loss": 0.5312012186963191}
{"event": "block_cem", "block": "popit_friction", "iteration": 4, "loss": 0.5312012186963191}
{"event": "completed", "output": "/pfss/mlde/workspaces/mlde_wsp_IAS_SAMMerge/triquang/ego-real2sim/outputs/basic_pick_place_multi/physics/refinement", "baseline_loss": 0.5520296393922953, "best_loss": 0.5312012186963191, "best_source": "block_cem", "selected_block": "popit_friction", "maximum_lift_m": 0.09259880518112407}

Xet Storage Details

Size:
4.8 kB
·
Xet hash:
f15064288533b984180e7e10ca58c53066daad70dbc17dc7bea0025ca8faf91a

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.