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  1. gym/Humanoid-medium-v3/normalization.npz +3 -0
  2. gym/Humanoid-medium-v3/train.npz +3 -0
  3. gym/ant-medium-expert-v2/normalization.npz +3 -0
  4. gym/ant-medium-expert-v2/train.npz +3 -0
  5. gym/hopper-medium-v2/normalization.npz +3 -0
  6. gym/hopper-medium-v2/normalization_old_17dim.npz +3 -0
  7. gym/hopper-medium-v2/train.npz +3 -0
  8. gym/hopper-medium-v2/train_old_17dim.npz +3 -0
  9. gym/hopper-medium-v2_new/_2025_12_09_12_23_54.log +19 -0
  10. gym/hopper-medium-v2_new/normalization.npz +3 -0
  11. gym/hopper-medium-v2_new/train.npz +3 -0
  12. gym/hopper-medium-v2_new/val.npz +3 -0
  13. gym/kitchen-complete-v0/_2024_10_19_23_27_40.log +46 -0
  14. gym/kitchen-complete-v0/normalization.npz +3 -0
  15. gym/kitchen-complete-v0/train.npz +3 -0
  16. gym/kitchen-complete-v0/val.npz +3 -0
  17. gym/kitchen-mixed-v0/_2024_10_21_11_47_06.log +47 -0
  18. gym/kitchen-mixed-v0/normalization.npz +3 -0
  19. gym/kitchen-mixed-v0/train.npz +3 -0
  20. gym/kitchen-mixed-v0/val.npz +3 -0
  21. gym/kitchen-partial-v0/_2024_10_21_11_45_50.log +46 -0
  22. gym/kitchen-partial-v0/normalization.npz +3 -0
  23. gym/kitchen-partial-v0/train.npz +3 -0
  24. gym/kitchen-partial-v0/val.npz +3 -0
  25. gym/walker2d-medium-v2/normalization.npz +3 -0
  26. gym/walker2d-medium-v2/train.npz +3 -0
  27. robomimic/can-img/_2024_07_28_22_55_38.log +43 -0
  28. robomimic/can-img/normalization.npz +3 -0
  29. robomimic/can-img/train.npz +3 -0
  30. robomimic/can/_2024_07_19_18_03_15.log +0 -0
  31. robomimic/can/normalization.npz +3 -0
  32. robomimic/can/train.npz +3 -0
  33. robomimic/lift-img/_2024_07_28_22_44_32.log +42 -0
  34. robomimic/lift-img/normalization.npz +3 -0
  35. robomimic/lift-img/train.npz +3 -0
  36. robomimic/lift/_2024_05_26_01_51_24.log +56 -0
  37. robomimic/lift/normalization.npz +3 -0
  38. robomimic/lift/train.npz +3 -0
  39. robomimic/square-img/_2024_07_28_22_48_55.log +43 -0
  40. robomimic/square-img/normalization.npz +3 -0
  41. robomimic/square-img/train.npz +3 -0
  42. robomimic/square/_2024_05_26_01_51_36.log +62 -0
  43. robomimic/square/normalization.npz +3 -0
  44. robomimic/square/train.npz +3 -0
  45. robomimic/transport-img/_2024_07_30_17_54_05.log +69 -0
  46. robomimic/transport-img/normalization.npz +3 -0
  47. robomimic/transport-img/train.npz +3 -0
  48. robomimic/transport/_2024_05_26_01_51_50.log +125 -0
  49. robomimic/transport/normalization.npz +3 -0
  50. robomimic/transport/train.npz +3 -0
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+ 2025-12-09 12:23:56,570 - get_D4RL_dataset - INFO -
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+ ========== Basic Info ===========
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+ 2025-12-09 12:23:56,571 - get_D4RL_dataset - INFO - Keys in the dataset: dict_keys(['actions', 'infos/action_log_probs', 'infos/qpos', 'infos/qvel', 'metadata/algorithm', 'metadata/iteration', 'metadata/policy/fc0/bias', 'metadata/policy/fc0/weight', 'metadata/policy/fc1/bias', 'metadata/policy/fc1/weight', 'metadata/policy/last_fc/bias', 'metadata/policy/last_fc/weight', 'metadata/policy/last_fc_log_std/bias', 'metadata/policy/last_fc_log_std/weight', 'metadata/policy/nonlinearity', 'metadata/policy/output_distribution', 'next_observations', 'rewards', 'terminals', 'timeouts', 'states'])
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+ 2025-12-09 12:23:56,571 - get_D4RL_dataset - INFO - State shape: (1000000, 11)
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+ 2025-12-09 12:23:56,571 - get_D4RL_dataset - INFO - Action shape: (1000000, 3)
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+ 2025-12-09 12:23:56,760 - get_D4RL_dataset - INFO - Total transitions: 999906
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+ 2025-12-09 12:23:56,760 - get_D4RL_dataset - INFO - Total trajectories: 2186
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+ 2025-12-09 12:23:56,761 - get_D4RL_dataset - INFO - Trajectory length mean/std: 457.4135407136322, 110.88357221430905
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+ 2025-12-09 12:23:56,761 - get_D4RL_dataset - INFO - Trajectory length min/max: 145, 1000
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+ 2025-12-09 12:23:56,762 - get_D4RL_dataset - INFO - obs min: [ 0.70000756 -0.19498888 -1.4930675 -1.4813906 -0.96395123
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+ 2025-12-09 12:24:01,032 - get_D4RL_dataset - INFO -
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+ ========== Final ===========
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+ 2025-12-09 12:24:01,033 - get_D4RL_dataset - INFO - Train - Trajectories: 2186, Transitions: 999906
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+ 2025-12-09 12:24:01,033 - get_D4RL_dataset - INFO - Val - Trajectories: 0, Transitions: 0.0
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+ 2025-12-09 12:24:01,033 - get_D4RL_dataset - INFO - Train - Mean/Std trajectory length: 457.4135407136322, 110.88357221430905
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+ ========== Final ===========
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+ 2024-10-19 23:27:41,969 - get_D4RL_dataset - INFO - Train - Trajectories: 19, Transitions: 3680
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+ 2024-10-19 23:27:41,978 - get_D4RL_dataset - INFO - Train - Mean/Std trajectory length: 193.68421052631578, 7.5953769289299125
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+ ========== Basic Info ===========
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+ 2024-10-21 11:47:08,926 - get_D4RL_dataset - INFO - Keys in the dataset: dict_keys(['actions', 'infos', 'rewards', 'terminals', 'timeouts', 'states'])
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+ 2024-10-21 11:47:10,020 - get_D4RL_dataset - INFO -
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+ ========== Final ===========
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+ 2024-10-21 11:47:10,020 - get_D4RL_dataset - INFO - Train - Trajectories: 612, Transitions: 136931
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+ 2024-10-21 11:47:10,021 - get_D4RL_dataset - INFO - Train - Mean/Std trajectory length: 223.74346405228758, 30.929308071863865
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+ ========== Basic Info ===========
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+ 2024-10-21 11:45:52,104 - get_D4RL_dataset - INFO - Keys in the dataset: dict_keys(['actions', 'infos', 'rewards', 'terminals', 'timeouts', 'states'])
4
+ 2024-10-21 11:45:52,104 - get_D4RL_dataset - INFO - State shape: (136950, 60)
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+ 2024-10-21 11:45:52,104 - get_D4RL_dataset - INFO - Action shape: (136950, 9)
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+ 2024-10-21 11:45:52,126 - get_D4RL_dataset - INFO - Total transitions: 136950
7
+ 2024-10-21 11:45:52,126 - get_D4RL_dataset - INFO - Total trajectories: 613
8
+ 2024-10-21 11:45:52,126 - get_D4RL_dataset - INFO - Trajectory length mean/std: 223.4094616639478, 31.989604375918944
9
+ 2024-10-21 11:45:52,126 - get_D4RL_dataset - INFO - Trajectory length min/max: 8, 280
10
+ 2024-10-21 11:45:52,127 - get_D4RL_dataset - INFO - obs min: [-2.8562341e+00 -1.7780266e+00 1.0558846e-01 -2.9410243e+00
11
+ -2.9119925e+00 -7.2664633e-02 -1.2689546e+00 -1.0112277e-02
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+ -1.0373037e-02 -4.7541782e-04 -4.9969129e-04 -1.6674680e+00
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+ -9.5278993e-03 -2.5421268e-05 -4.9702172e-05 -1.3140447e+00
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+ 9.9000001e-01 0.0000000e+00 0.0000000e+00 -5.9999999e-02], obs max: [ 2.9373896e-01 1.0909384e+00 2.4156480e+00 -6.8882179e-01
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+ 2.8374689e+00 2.1470261e+00 2.9358180e+00 5.0744869e-02
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+ 5.1413428e-02 5.2457413e-04 5.0028285e-04 5.1788827e-03
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+ 8.7287168e-05 7.4576827e-05 5.0295035e-05 4.0768292e-02
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+ 2.5728496e-04 6.0052960e-03 7.7754509e-04 4.4733420e-01
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+ 9.9999690e-03 1.5907222e+00 2.5722675e-02 -9.5922351e-02
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+ 8.7287450e-01 1.8815286e+00 1.0099998e+00 2.9935881e-01
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+ 1.6471021e-01 2.5793815e-01 0.0000000e+00 0.0000000e+00
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+ -5.0000001e-02 3.7000000e-01 0.0000000e+00 0.0000000e+00
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+ -7.5000000e-01 -2.3000000e-01 7.5000000e-01 1.6200000e+00
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+ 9.9000001e-01 0.0000000e+00 0.0000000e+00 -5.9999999e-02]
39
+ 2024-10-21 11:45:52,127 - get_D4RL_dataset - INFO - action min: [-0.999 -0.999 -0.999 -0.999 -0.999 -0.999
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+ -0.999 -0.3167601 -0.3185339], action max: [0.999 0.999 0.999 0.999 0.999 0.999
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+ 0.999 0.30768636 0.3072741 ]
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+ 2024-10-21 11:45:53,177 - get_D4RL_dataset - INFO -
43
+ ========== Final ===========
44
+ 2024-10-21 11:45:53,178 - get_D4RL_dataset - INFO - Train - Trajectories: 613, Transitions: 136950
45
+ 2024-10-21 11:45:53,178 - get_D4RL_dataset - INFO - Val - Trajectories: 0, Transitions: 0.0
46
+ 2024-10-21 11:45:53,178 - get_D4RL_dataset - INFO - Train - Mean/Std trajectory length: 223.4094616639478, 31.989604375918944
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+ Using robot0_eef_pos with dim 3 for observation
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+ Using robot0_eef_quat with dim 4 for observation
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+ Using robot0_gripper_qpos with dim 2 for observation
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+ Total low-dim observation dim: 9
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+ Action dim: 7
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+ ===== Basic stats =====
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+ total transitions: 62756
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+ total trajectories: 300
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+ traj length mean/std: 209.18666666666667, 114.42181532479817
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+ traj length min/max: 98, 1050
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+ action max: [1. 1. 1. 0.62915826 1. 0.42358947
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+ 1. ]
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+ Image shapes: [(96, 96, 3)]
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+
22
+ ========== Final ===========
23
+ Train - Number of episodes and transitions: 300, 62756
24
+ Val - Number of episodes and transitions: 0, 0.0
25
+ Train - Mean/Std trajectory length: 209.18666666666667, 114.42181532479817
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+ Train - Obs dim 9 mean -0.10411067954984783 std 0.27858701103340766 min -1.0 max 0.9999523548967768
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+ Train - Action dim 1 mean 0.0191666082643149 std 0.12093341761359697 min -1.0 max 0.9999990000004999
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+ Train - Action dim 2 mean 0.033036921964078696 std 0.2183804433881315 min -1.0 max 0.9999990000004999
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robomimic/can/normalization.npz ADDED
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1
+ Using robot0_eef_pos with dim 3 for observation
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+ Using robot0_eef_quat with dim 4 for observation
3
+ Using robot0_gripper_qpos with dim 2 for observation
4
+ Total low-dim observation dim: 9
5
+ Action dim: 7
6
+ ===== Basic stats =====
7
+ total transitions: 31127
8
+ total trajectories: 300
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+ traj length mean/std: 103.75666666666666, 44.31843997956406
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+ traj length min/max: 41, 313
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+ obs min: [-0.227238 -0.08402276 0. 0. -0.33597003 -0.19596296
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+ action min: [-1. -1. -1. -0.13799655 -1. -0.6103344
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+ -1. ]
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+ action max: [1. 1. 1. 0.14114816 1. 0.6874066
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+ 1. ]
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+ Image shapes: [(96, 96, 3)]
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+
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+ ========== Final ===========
22
+ Train - Number of episodes and transitions: 300, 31127
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+ Val - Number of episodes and transitions: 0, 0.0
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+ Train - Mean/Std trajectory length: 103.75666666666666, 44.31843997956406
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+ Train - Max/Min trajectory length: 313, 41
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+ Train - Mean/Std episode reward: 5.04, 0.19595917942265426
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+ Train - Obs dim 5 mean -0.04647307888873843 std 0.21639483839721288 min -1.0 max 0.999997547660048
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+ Train - Action dim 1 mean 0.02466961957679828 std 0.12923461097498107 min -1.0 max 0.9999990000004999
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+ Train - Action dim 2 mean 0.0010188539793908747 std 0.07518607965274834 min -1.0 max 0.9999990000004999
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+ Train - Action dim 7 mean -0.1900000707454385 std 0.5434986471397592 min -1.0 max 0.9999990000004999
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robomimic/lift-img/train.npz ADDED
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1
+ Using robot0_eef_pos with dim 3 for observation
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+ Using robot0_eef_quat with dim 4 for observation
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+ Using robot0_gripper_qpos with dim 2 for observation
4
+ Using object with dim 10 for observation
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+ Total low-dim observation dim: 19
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+ Action dim: 7
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+ ===== Basic stats =====
8
+ total transitions: 31127
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+ total trajectories: 300
10
+ traj length mean/std: 103.75666666666666, 44.31843997956406
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+ traj length min/max: 41, 313
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+ -1. ]
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+ action max: [1. 1. 1. 0.14114816 1. 0.6874066
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+ 1. ]
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+
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+ ========== Final ===========
26
+ Train - Number of episodes and transitions: 300, 31127
27
+ Val - Number of episodes and transitions: 0, 0.0
28
+ Train - Mean/Std trajectory length: 103.75666666666666, 44.31843997956406
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+ Train - Max/Min trajectory length: 313, 41
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+ Train - Mean/Std episode reward: 5.04, 0.19595917942265426
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+ Train - Obs dim 1 mean -0.07802061850757917 std 0.1495451547902029 min -1.0 max 0.9999963054426373
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+ Train - Obs dim 7 mean 0.09741853490979653 std 0.1940884873243962 min -1.0 max 0.9999894122213733
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+ Train - Obs dim 8 mean 0.2368136974734481 std 0.40169107617646466 min -0.9796265635044815 max 0.9999515150034488
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+ Train - Obs dim 9 mean -0.24491415863248392 std 0.41270388689712467 min -1.0 max 0.9749520904436988
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+ Train - Obs dim 10 mean 0.04221021415251255 std 0.14915715953867 min -1.0 max 0.9999873780270743
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+ Train - Action dim 1 mean 0.02466961957679828 std 0.12923461097498107 min -1.0 max 0.9999990000004999
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+ Train - Action dim 7 mean -0.1900000707454385 std 0.5434986471397592 min -1.0 max 0.9999990000004999
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+ Using robot0_eef_pos with dim 3 for observation
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+ Using robot0_eef_quat with dim 4 for observation
3
+ Using robot0_gripper_qpos with dim 2 for observation
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+ Total low-dim observation dim: 9
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+ Action dim: 7
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+ ===== Basic stats =====
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+ total transitions: 80731
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+ total trajectories: 300
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+ obs min: [-3.26264625e-01 -1.62671727e-01 0.00000000e+00 0.00000000e+00
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+ -9.04705476e-01 -1.22305499e-01 -2.87990118e-01 -3.48446265e-04
13
+ -4.91901745e-02]
14
+ obs max: [0.31836494 0.360278 1.36639441 0.99999935 0.85060488 0.50034479
15
+ 0.13586072 0.04177344 0.0019975 ]
16
+ action min: [-1. -1. -1. -0.44833228 -1. -1.
17
+ -1. ]
18
+ action max: [1. 1. 1. 0.20898621 1. 1.
19
+ 1. ]
20
+ Image shapes: [(96, 96, 3)]
21
+
22
+ ========== Final ===========
23
+ Train - Number of episodes and transitions: 300, 80731
24
+ Val - Number of episodes and transitions: 0, 0.0
25
+ Train - Mean/Std trajectory length: 269.10333333333335, 123.21585120790624
26
+ Train - Max/Min trajectory length: 1051, 123
27
+ Train - Mean/Std episode reward: 5.036666666666667, 0.18794207145347266
28
+ Train - Obs dim 1 mean 0.014108648977759625 std 0.23744747027078736 min -1.0 max 0.9999968974477831
29
+ Train - Obs dim 2 mean 0.017794446161820725 std 0.13429545862303632 min -1.0 max 0.9999961755478983
30
+ Train - Obs dim 3 mean 0.0922426901585151 std 0.16448797744720906 min 0.0 max 0.9999985362948538
31
+ Train - Obs dim 4 mean 0.21628856315362982 std 0.3829559806423217 min -0.19013031297741756 max 0.9999980000006969
32
+ Train - Obs dim 5 mean 0.013114441950858053 std 0.21022078723093746 min -1.0 max 0.9999988606010042
33
+ Train - Obs dim 6 mean -0.11502775899379711 std 0.21653592024846952 min -1.0 max 0.9999967879292364
34
+ Train - Obs dim 7 mean 0.08000244596662096 std 0.16110740362548853 min -1.0 max 0.9999952813700024
35
+ Train - Obs dim 8 mean 0.07734247501961632 std 0.3222264425910281 min -1.0 max 0.9999525198763823
36
+ Train - Obs dim 9 mean -0.031440438175175396 std 0.24965053980426447 min -1.0 max 0.9999609288566065
37
+ Train - Action dim 1 mean 0.024737544353397162 std 0.14884351576978036 min -1.0 max 0.9999990000004999
38
+ Train - Action dim 2 mean 0.0072442578256985335 std 0.11751811680991711 min -1.0 max 0.9999990000004999
39
+ Train - Action dim 3 mean -0.009443158505506078 std 0.13478169419780953 min -1.0 max 0.9999990000004999
40
+ Train - Action dim 4 mean 0.09377281622670909 std 0.1655878669964125 min -1.0 max 0.9999969573395628
41
+ Train - Action dim 5 mean 0.0005484708632519405 std 0.028443994071011072 min -1.0 max 0.9999990000004999
42
+ Train - Action dim 6 mean 0.0011374524260853126 std 0.05378051333959685 min -1.0 max 0.9999990000004999
43
+ Train - Action dim 7 mean -0.004538660482017692 std 0.5059883254858543 min -1.0 max 0.9999990000004999
robomimic/square-img/normalization.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:15eb8c018169a73dfaa8d108cbc692535215c65ed79a33bda29a3ca3ce25be62
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+ size 1274
robomimic/square-img/train.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:7c101e5ffcb1e094b3b2b44f088c92391119a9e9438395b632b3391bd474e400
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+ size 85611847
robomimic/square/_2024_05_26_01_51_36.log ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Using robot0_eef_pos with dim 3 for observation
2
+ Using robot0_eef_quat with dim 4 for observation
3
+ Using robot0_gripper_qpos with dim 2 for observation
4
+ Using object with dim 14 for observation
5
+ Total low-dim observation dim: 23
6
+ Action dim: 7
7
+ ===== Basic stats =====
8
+ total transitions: 80731
9
+ total trajectories: 300
10
+ traj length mean/std: 269.10333333333335, 123.21585120790624
11
+ traj length min/max: 123, 1051
12
+ obs min: [-3.26264625e-01 -1.62671727e-01 0.00000000e+00 0.00000000e+00
13
+ -9.04705476e-01 -1.22305499e-01 -2.87990118e-01 -3.48446265e-04
14
+ -4.91901745e-02 -2.88686366e-01 -5.34496241e-02 0.00000000e+00
15
+ -5.06338215e-01 -5.22761920e-01 -7.28617727e-01 -9.99997558e-01
16
+ -1.63252414e-01 -3.57129989e-01 -1.08106871e-01 -9.99991834e-01
17
+ -9.99999523e-01 -5.20801425e-01 0.00000000e+00]
18
+ obs max: [0.31836494 0.360278 1.36639441 0.99999935 0.85060488 0.50034479
19
+ 0.13586072 0.04177344 0.0019975 0.29996479 0.30764405 1.11203954
20
+ 0.64154186 0.49256304 0.99999687 0.99992923 0.25271135 0.19679319
21
+ 0.43350386 0.9999904 0.99999976 0.58587408 0.75748754]
22
+ action min: [-1. -1. -1. -0.44833228 -1. -1.
23
+ -1. ]
24
+ action max: [1. 1. 1. 0.20898621 1. 1.
25
+ 1. ]
26
+
27
+ ========== Final ===========
28
+ Train - Number of episodes and transitions: 300, 80731
29
+ Val - Number of episodes and transitions: 0, 0.0
30
+ Train - Mean/Std trajectory length: 269.10333333333335, 123.21585120790624
31
+ Train - Max/Min trajectory length: 1051, 123
32
+ Train - Mean/Std episode reward: 5.036666666666667, 0.18794207145347266
33
+ Train - Obs dim 1 mean 0.014108648977759668 std 0.23744747027078744 min -1.0 max 0.9999968974477831
34
+ Train - Obs dim 2 mean 0.017794446161820764 std 0.13429545862303638 min -1.0 max 0.9999961755478983
35
+ Train - Obs dim 3 mean 0.09224269015851502 std 0.16448797744720894 min 0.0 max 0.9999985362948538
36
+ Train - Obs dim 4 mean 0.21628856315362988 std 0.38295598064232167 min -0.19013031297741767 max 0.9999980000006967
37
+ Train - Obs dim 5 mean 0.01311444195085805 std 0.2102207872309374 min -1.0 max 0.9999988606010042
38
+ Train - Obs dim 6 mean -0.1150277589937971 std 0.2165359202484695 min -1.0 max 0.9999967879292364
39
+ Train - Obs dim 7 mean 0.0800024459666212 std 0.16110740362548884 min -1.0 max 0.9999952813700024
40
+ Train - Obs dim 8 mean 0.07734247501961632 std 0.3222264425910281 min -1.0 max 0.9999525198763823
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+ Train - Obs dim 9 mean -0.031440438175175396 std 0.24965053980426447 min -1.0 max 0.9999609288566065
42
+ Train - Obs dim 10 mean 0.015267976792676254 std 0.27051342023098296 min -1.0 max 0.9999966024077758
43
+ Train - Obs dim 11 mean 0.015422753564711504 std 0.12581608415345905 min -1.0 max 0.999994461286388
44
+ Train - Obs dim 12 mean 0.1551041895755809 std 0.2719134590665128 min 0.0 max 0.9999982015044246
45
+ Train - Obs dim 13 mean -0.03175834454874344 std 0.08131130538479579 min -1.0 max 0.9999982576592266
46
+ Train - Obs dim 14 mean 0.006394919990466625 std 0.059320487914981894 min -1.0 max 0.9999980301892473
47
+ Train - Obs dim 15 mean 0.15425974118471653 std 0.33300533225110795 min -1.0 max 0.9999988430047682
48
+ Train - Obs dim 16 mean -0.0012008707495527596 std 0.33532827954757327 min -1.0 max 0.999998999963895
49
+ Train - Obs dim 17 mean -0.04869210368839549 std 0.15888937327836827 min -1.0 max 0.9999951919004002
50
+ Train - Obs dim 18 mean 0.05376572405691878 std 0.12692037181309024 min -1.0 max 0.9999963893975448
51
+ Train - Obs dim 19 mean -0.11898207475091212 std 0.22711717676752874 min -1.0 max 0.9999963073178033
52
+ Train - Obs dim 20 mean 0.030136480689581902 std 0.33906020778153423 min -1.0 max 0.999998999991619
53
+ Train - Obs dim 21 mean 0.07963651125015285 std 0.36157490628592714 min -1.0 max 0.9999990000001422
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+ Train - Obs dim 22 mean -0.012819319998467226 std 0.06973319745290055 min -1.0 max 0.9999981927871517
55
+ Train - Obs dim 23 mean -0.22446647876347367 std 0.39332013309849023 min -0.9999999534131866 max 0.9999973596960134
56
+ Train - Action dim 1 mean 0.024737544353397162 std 0.14884351576978036 min -1.0 max 0.9999990000004999
57
+ Train - Action dim 2 mean 0.0072442578256985335 std 0.11751811680991711 min -1.0 max 0.9999990000004999
58
+ Train - Action dim 3 mean -0.009443158505506078 std 0.13478169419780953 min -1.0 max 0.9999990000004999
59
+ Train - Action dim 4 mean 0.09377281622670909 std 0.1655878669964125 min -1.0 max 0.9999969573395628
60
+ Train - Action dim 5 mean 0.0005484708632519405 std 0.028443994071011072 min -1.0 max 0.9999990000004999
61
+ Train - Action dim 6 mean 0.0011374524260853126 std 0.05378051333959685 min -1.0 max 0.9999990000004999
62
+ Train - Action dim 7 mean -0.004538660482017692 std 0.5059883254858543 min -1.0 max 0.9999990000004999
robomimic/square/normalization.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:68ec0abfd989d5f0121f0e9a1dd074b49f859c167ff941c70d2eff8006074ff3
3
+ size 1498
robomimic/square/train.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:443665cd09fc0457c85bc85de18ab92e7d34c7e33770af0cd451523dece34aac
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+ size 15752755
robomimic/transport-img/_2024_07_30_17_54_05.log ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Using robot0_eef_pos with dim 3 for observation
2
+ Using robot0_eef_quat with dim 4 for observation
3
+ Using robot0_gripper_qpos with dim 2 for observation
4
+ Using robot1_eef_pos with dim 3 for observation
5
+ Using robot1_eef_quat with dim 4 for observation
6
+ Using robot1_gripper_qpos with dim 2 for observation
7
+ Total low-dim observation dim: 18
8
+ Action dim: 14
9
+ ===== Basic stats =====
10
+ total transitions: 52925
11
+ total trajectories: 100
12
+ traj length mean/std: 529.25, 98.11965909031686
13
+ traj length min/max: 392, 786
14
+ obs min: [-3.87397462e-01 -6.25304613e-01 0.00000000e+00 0.00000000e+00
15
+ 0.00000000e+00 -2.37184185e-01 -2.51141327e-01 -8.11937619e-04
16
+ -4.25659365e-02 -2.98824064e-01 -5.01087908e-02 0.00000000e+00
17
+ 0.00000000e+00 -9.81825662e-01 -3.20526141e-01 -3.84242461e-01
18
+ -3.44856433e-04 -4.18890207e-02]
19
+ obs max: [4.48212767e-01 9.25028305e-02 1.42587269e+00 8.83748470e-01
20
+ 9.85755152e-01 3.46287177e-01 1.94509758e-01 4.19519800e-02
21
+ 1.36586841e-03 3.54766151e-01 6.84630962e-01 1.38242135e+00
22
+ 9.58689327e-01 0.00000000e+00 3.08424389e-01 2.14903686e-01
23
+ 4.05721111e-02 2.00945305e-03]
24
+ action min: [-1. -1. -1. -0.37039759 -0.27552914 -0.43308792
25
+ -1. -1. -1. -1. -1. -0.22181264
26
+ -0.65266722 -1. ]
27
+ action max: [1. 1. 1. 1. 0.37573003 0.50275624
28
+ 1. 1. 1. 1. 0.56647951 0.25909724
29
+ 0.49969491 1. ]
30
+ Image shapes: [(96, 96, 3), (96, 96, 3)]
31
+
32
+ ========== Final ===========
33
+ Train - Number of episodes and transitions: 100, 52925
34
+ Val - Number of episodes and transitions: 0, 0.0
35
+ Train - Mean/Std trajectory length: 529.25, 98.11965909031686
36
+ Train - Max/Min trajectory length: 786, 392
37
+ Train - Mean/Std episode reward: 5.31, 0.673721010508059
38
+ Train - Obs dim 1 mean 0.1334120232652188 std 0.22480696273118997 min -1.0 max 0.9999976065424532
39
+ Train - Obs dim 2 mean -0.0817198875849005 std 0.45912862605317273 min -1.0 max 0.9999972137413278
40
+ Train - Obs dim 3 mean 0.2794914817132662 std 0.22456682048751703 min 0.0 max 0.9999985973512098
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+ Train - Obs dim 4 mean 0.39578171875258766 std 0.3220579657075725 min -0.654214759907058 max 0.9999977369151909
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+ Train - Obs dim 5 mean 0.27773841372091995 std 0.2377281991364738 min -0.10610951808235425 max 0.9999979711006655
43
+ Train - Obs dim 6 mean -0.12563663405942915 std 0.21008549907894786 min -1.0 max 0.9999965722455231
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+ Train - Obs dim 7 mean 0.03535493499621256 std 0.212186367835282 min -1.0 max 0.9999955121942281
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+ Train - Obs dim 8 mean 0.2359532307015519 std 0.5013233892067552 min -1.0 max 0.999953232693781
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+ Train - Obs dim 9 mean -0.22010415532237532 std 0.500375278015618 min -1.0 max 0.9999544759319621
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+ Train - Obs dim 10 mean -0.10124675670048008 std 0.31937753815675696 min -1.0 max 0.9999969399833497
48
+ Train - Obs dim 11 mean -0.005703249812281711 std 0.3288293978064205 min -1.0 max 0.9999972779514497
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+ Train - Obs dim 12 mean 0.3246376188016062 std 0.2521765975297351 min 0.0 max 0.9999985532641325
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+ Train - Obs dim 13 mean 0.33763218998085526 std 0.27631479676363685 min -0.6944441966929431 max 0.9999979138206125
51
+ Train - Obs dim 14 mean -0.2546544543576569 std 0.2344213638641562 min -1.0 max 0.43719503348766353
52
+ Train - Obs dim 15 mean 0.06508344407932895 std 0.17681358448099407 min -1.0 max 0.9999968201047236
53
+ Train - Obs dim 16 mean 0.2482067867151661 std 0.23125006926587344 min -1.0 max 0.9999966619218483
54
+ Train - Obs dim 17 mean 0.3617733650886255 std 0.5148621021356025 min -1.0 max 0.9999511217168788
55
+ Train - Obs dim 18 mean -0.35272072121434456 std 0.46928228754128815 min -1.0 max 0.9999544413673012
56
+ Train - Action dim 1 mean 0.010940526707535536 std 0.3078308815019281 min -1.0 max 0.9999990000004999
57
+ Train - Action dim 2 mean 0.016367073861014717 std 0.3043687328276954 min -1.0 max 0.9999990000004999
58
+ Train - Action dim 3 mean 0.001516098445730155 std 0.24756609130709545 min -1.0 max 0.9999990000004999
59
+ Train - Action dim 4 mean -0.3093435914582424 std 0.2302716116494074 min -1.0 max 0.9999985405705931
60
+ Train - Action dim 5 mean -0.0968276629587923 std 0.10748218572157867 min -1.0 max 0.9999969290306501
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+ Train - Action dim 6 mean -0.04991169691741037 std 0.12014543730846078 min -1.0 max 0.9999978628943118
62
+ Train - Action dim 7 mean -0.07176874862580385 std 0.817431771540184 min -1.0 max 0.9999990000004999
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+ Train - Action dim 8 mean -0.021568850302839882 std 0.25584229379133777 min -1.0 max 0.9999990000004999
64
+ Train - Action dim 9 mean 0.0023774145580940827 std 0.2716368655493509 min -1.0 max 0.9999990000004999
65
+ Train - Action dim 10 mean 0.0047864184872162124 std 0.23279888570447616 min -1.0 max 0.9999990000004999
66
+ Train - Action dim 11 mean 0.1880351499095309 std 0.14592562013225613 min -1.0 max 0.9999987232525471
67
+ Train - Action dim 12 mean -0.052181977960377025 std 0.10878576982368757 min -1.0 max 0.9999958412252841
68
+ Train - Action dim 13 mean 0.08499119880512629 std 0.10115211475166194 min -1.0 max 0.9999982644359804
69
+ Train - Action dim 14 mean -0.1962979484477179 std 0.7967513378507701 min -1.0 max 0.9999990000004999
robomimic/transport-img/normalization.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5aa6c36068dd4698357aba2db5b1cec231e1cae2b02691e356c0a49d30f1910c
3
+ size 1530
robomimic/transport-img/train.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:c93b302f51e5f94d783450e74402da66dfc3ca399bbbe521841394d3221e3f3c
3
+ size 1544519883
robomimic/transport/_2024_05_26_01_51_50.log ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Using robot0_eef_pos with dim 3 for observation
2
+ Using robot0_eef_quat with dim 4 for observation
3
+ Using robot0_gripper_qpos with dim 2 for observation
4
+ Using robot1_eef_pos with dim 3 for observation
5
+ Using robot1_eef_quat with dim 4 for observation
6
+ Using robot1_gripper_qpos with dim 2 for observation
7
+ Using object with dim 41 for observation
8
+ Total low-dim observation dim: 59
9
+ Action dim: 14
10
+ ===== Basic stats =====
11
+ total transitions: 195800
12
+ total trajectories: 300
13
+ traj length mean/std: 652.6666666666666, 200.97544349718174
14
+ traj length min/max: 392, 2614
15
+ obs min: [-4.63256720e-01 -7.98156403e-01 0.00000000e+00 0.00000000e+00
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+ 0.00000000e+00 -3.99055504e-01 -3.91387569e-01 -3.07557027e-03
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+ -4.27359686e-02 -2.98824064e-01 -5.01087908e-02 0.00000000e+00
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+ 0.00000000e+00 -9.81825662e-01 -3.20526141e-01 -3.84242461e-01
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+ -5.01894549e-04 -4.31702934e-02 -3.22756885e-01 -5.69468910e-01
20
+ 0.00000000e+00 -9.59311604e-01 -9.99808848e-01 -9.97499526e-01
21
+ 0.00000000e+00 -2.36256210e-01 0.00000000e+00 0.00000000e+00
22
+ -8.81865203e-01 -7.45665431e-01 -7.39091814e-01 0.00000000e+00
23
+ -4.42306659e-01 -6.02635058e-01 -5.99562726e-03 -9.99426603e-01
24
+ -8.77381265e-01 -5.27535558e-01 0.00000000e+00 -2.04945833e-01
25
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
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+ 0.00000000e+00 -6.85787970e-01 -3.58121562e-01 -7.72439007e-01
27
+ -7.81877442e-01 -6.61756814e-01 -1.57051799e+00 -2.21685285e-01
28
+ -1.04404384e+00 -8.05595065e-01 -3.28056087e-01 -3.07110448e-01
29
+ -8.85980547e-01 0.00000000e+00 0.00000000e+00]
30
+ obs max: [0.49150458 0.11423256 1.67365872 0.95399691 0.98575515 0.61622742
31
+ 0.33293535 0.04282882 0.0027813 0.35476615 0.68463096 1.71572146
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+ 0.95868933 0. 0.43200082 0.43787544 0.04067585 0.00200945
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+ 0.42385505 0.5960566 1.67872024 0.88864338 0.99981391 0.99731219
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+ 0.7837581 0.28959095 0.54924488 1.13651 0.87997741 0.81821859
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+ 0.90154576 1.00000012 0.23526817 0.15086704 1.24405209 0.9994266
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+ 0.87424797 0.7089563 1.00000036 0. 0.45498439 0.80693614
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+ 0.20494932 0.4549681 0.806 0.49805609 1.11521554 0.68105503
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+ 0.35579286 0.70447152 0.15850863 0.47934342 0.13517691 0.36069079
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+ 0.49330317 0.51504602 0.06302934 1. 1. ]
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+ action min: [-1. -1. -1. -0.60489897 -0.64425274 -0.73978269
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+ -1. -1. -1. -1. -1. -0.27457889
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+ -0.65266722 -1. ]
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+ action max: [1. 1. 1. 1. 0.55085866 0.70682657
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+ 1. 1. 1. 1. 0.56647951 0.25909724
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+ 0.49969491 1. ]
46
+
47
+ ========== Final ===========
48
+ Train - Number of episodes and transitions: 300, 195800
49
+ Val - Number of episodes and transitions: 0, 0.0
50
+ Train - Mean/Std trajectory length: 652.6666666666666, 200.97544349718174
51
+ Train - Max/Min trajectory length: 2614, 392
52
+ Train - Mean/Std episode reward: 5.28, 0.7538346414610214
53
+ Train - Obs dim 1 mean 0.049928941808138186 std 0.14032707346192239 min -1.0 max 0.9999979052377834
54
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+ Train - Obs dim 3 mean 0.050851775951025455 std 0.1075696706368015 min -0.07658187351603296 max 0.9999988050139621
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+ Train - Obs dim 4 mean 0.10835142997772032 std 0.2122962590791899 min -0.7706635224518862 max 0.9999979035593398
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+ Train - Obs dim 5 mean 0.10691157908632269 std 0.20331450383602367 min -0.5190197484959844 max 0.9999979711006655
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+ Train - Obs dim 6 mean -0.03838504134708307 std 0.12965491796195935 min -1.0 max 0.9999980301076941
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+ Train - Obs dim 8 mean 0.08999189814367767 std 0.3146410067498626 min -1.0 max 0.9999564321362622
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63
+ Train - Obs dim 11 mean 0.00686202354922798 std 0.19612466399447412 min -1.0 max 0.9999972779514497
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65
+ Train - Obs dim 13 mean 0.11981308523130055 std 0.22267803306292042 min -0.6944441966929437 max 0.9999979138206125
66
+ Train - Obs dim 14 mean -0.1006787301741073 std 0.19348991577382535 min -1.0 max 0.7349466248289334
67
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68
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69
+ Train - Obs dim 17 mean 0.14584785619667132 std 0.3630061297930073 min -1.0 max 0.9999514312572206
70
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71
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72
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73
+ Train - Obs dim 21 mean 0.026534477567816937 std 0.08762736863303953 min -0.11488812607953536 max 0.9999988086169711
74
+ Train - Obs dim 22 mean 0.00764301254697236 std 0.06747702897999315 min -1.0 max 0.9999989177231425
75
+ Train - Obs dim 23 mean 0.016388402638349415 std 0.3608628232810244 min -1.0 max 0.9999989998118457
76
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78
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