Add level2_single_arm_from_dual_arm (suite transfer: level2_single_arm tasks from the final level2_dual_arm policy, 50k further steps; evaluation pending)
Browse files- multi_task/level2_single_arm_from_dual_arm/lora_step_0010000.npz +3 -0
- multi_task/level2_single_arm_from_dual_arm/lora_step_0020000.npz +3 -0
- multi_task/level2_single_arm_from_dual_arm/lora_step_0030000.npz +3 -0
- multi_task/level2_single_arm_from_dual_arm/lora_step_0040000.npz +3 -0
- multi_task/level2_single_arm_from_dual_arm/lora_step_0050000.npz +3 -0
- multi_task/level2_single_arm_from_dual_arm/metadata.json +267 -0
- multi_task/level2_single_arm_from_dual_arm/norm_stats.json +376 -0
multi_task/level2_single_arm_from_dual_arm/lora_step_0010000.npz
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multi_task/level2_single_arm_from_dual_arm/lora_step_0020000.npz
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version https://git-lfs.github.com/spec/v1
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multi_task/level2_single_arm_from_dual_arm/lora_step_0030000.npz
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version https://git-lfs.github.com/spec/v1
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size 1867943218
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multi_task/level2_single_arm_from_dual_arm/lora_step_0040000.npz
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version https://git-lfs.github.com/spec/v1
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size 1867943218
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multi_task/level2_single_arm_from_dual_arm/lora_step_0050000.npz
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multi_task/level2_single_arm_from_dual_arm/metadata.json
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{
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"suite": "level2_single_arm_from_dual_arm",
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| 3 |
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"suite_id": "x_dual2single",
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| 4 |
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"description": "level2_single_arm tasks, initialised from the final level2_dual_arm policy (suite transfer), 50k further steps",
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| 5 |
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"campaign": "pi05_lv2xfer_20261101",
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| 6 |
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"tasks": [
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| 7 |
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"HangMug-v1",
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| 8 |
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"PivotBook-v1",
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| 9 |
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"OpenBoxRetrieval-v1",
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| 10 |
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"KitAssembly-v1",
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| 11 |
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"FoldShirt-v1",
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| 12 |
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"ScoopWater-v1",
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| 13 |
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"StraightenTwoRopesSequential-v1",
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| 14 |
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"GraspTwoBlocks-v1",
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| 15 |
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"ReorientPen-v1",
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| 16 |
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"DexOpenDoor-v1",
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| 17 |
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"HammerNailOut-v1",
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| 18 |
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"ClothWipe-v1",
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| 19 |
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"RollingPin-v1",
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| 20 |
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"RopeBridgeDex-v1"
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| 21 |
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],
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| 22 |
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"experiment": "suite transfer: continue the finished level-2 subset policy of another grouping on this suite's tasks",
|
| 23 |
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"method": "PI0.5 LoRA + trainable weights, multi-task (one policy for all tasks in the suite)",
|
| 24 |
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"base_checkpoint": "gs://openpi-assets/checkpoints/pi05_base/params",
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| 25 |
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"init_from": {
|
| 26 |
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"suite": "level2_dual_arm",
|
| 27 |
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"campaign": "pi05_lv2sub_20261029",
|
| 28 |
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"commit": "e8d4dfc8d2ca304c81fd25d637a3ac512f257701",
|
| 29 |
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"npz": "multi_task/level2_dual_arm/lora_step_0050000.npz",
|
| 30 |
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"npz_sha256": "14bf21db6b8c8d2d9027d2cc20035bb1cca3e663e2bdf25b6fddc0777ebc4555",
|
| 31 |
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"local_params": "/mnt1/Object_World_Dataset/gck_pi05_lv2sub/checkpoints/maniladder_pi05_lora/pi05_lora_l2dual/50000/params",
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| 32 |
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"mean_success_rate_on_own_tasks": 0.11999999999999998,
|
| 33 |
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"note": "training started from ALL parameters of the final level2_dual_arm checkpoint (= pi05_base + its lora_step_0050000.npz trainable tensors), i.e. LoRA and the trained vision/action layers continue from that policy; optimizer state and lr schedule restart"
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| 34 |
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},
|
| 35 |
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"target_suite": "level2_single_arm",
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| 36 |
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"source_suite": "level2_dual_arm",
|
| 37 |
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"checkpoints": [
|
| 38 |
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{
|
| 39 |
+
"file": "lora_step_0010000.npz",
|
| 40 |
+
"step": 10000,
|
| 41 |
+
"sha256": "ad95ac0e1240d1e2873d15d4ca071f3e820095c4805b96dddbf2e5c6dc8b5ec5",
|
| 42 |
+
"bytes": 1867943218,
|
| 43 |
+
"evaluated": false
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"file": "lora_step_0020000.npz",
|
| 47 |
+
"step": 20000,
|
| 48 |
+
"sha256": "5d0f22d3de583d7a4c1ef1ae1568f3ad632d06638e79ff0525a0fbec53e111a6",
|
| 49 |
+
"bytes": 1867943218,
|
| 50 |
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"evaluated": false
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"file": "lora_step_0030000.npz",
|
| 54 |
+
"step": 30000,
|
| 55 |
+
"sha256": "a27086c4e227268625bc3fc52211f4cd4e3b62ac81de3e298b379f76d7b354ff",
|
| 56 |
+
"bytes": 1867943218,
|
| 57 |
+
"evaluated": false
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"file": "lora_step_0040000.npz",
|
| 61 |
+
"step": 40000,
|
| 62 |
+
"sha256": "90131d924d62c384c9d2e3228e081402e99350fd118e61bfba9b500ef2939768",
|
| 63 |
+
"bytes": 1867943218,
|
| 64 |
+
"evaluated": false
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"file": "lora_step_0050000.npz",
|
| 68 |
+
"step": 50000,
|
| 69 |
+
"sha256": "b0744ef0258bb9382951f32eabbc0e99d2ba4f5d71a72c1571ee321337b5c3b1",
|
| 70 |
+
"bytes": 1867943218,
|
| 71 |
+
"evaluated": true
|
| 72 |
+
}
|
| 73 |
+
],
|
| 74 |
+
"evaluated_checkpoint": "lora_step_0050000.npz",
|
| 75 |
+
"tensor_count": 51,
|
| 76 |
+
"action_dim": 44,
|
| 77 |
+
"state_dim": 44,
|
| 78 |
+
"action_dim_note": "44 = union of all level-2 embodiments (dual-arm dexterous); narrower embodiments are zero-padded",
|
| 79 |
+
"action_horizon": 50,
|
| 80 |
+
"max_token_len": 200,
|
| 81 |
+
"image_size": 224,
|
| 82 |
+
"exec_steps": 16,
|
| 83 |
+
"sample_steps": 10,
|
| 84 |
+
"control_mode": "pd_ee_delta_pose",
|
| 85 |
+
"state_input": "zero vector",
|
| 86 |
+
"cameras": [
|
| 87 |
+
"front_camera",
|
| 88 |
+
"robot_camera"
|
| 89 |
+
],
|
| 90 |
+
"missing_right_wrist_image": "zeros",
|
| 91 |
+
"num_demos_per_task": 20,
|
| 92 |
+
"train_episodes": 280,
|
| 93 |
+
"train_frames": 115379,
|
| 94 |
+
"train_steps": 50000,
|
| 95 |
+
"batch_size": 64,
|
| 96 |
+
"lr": 5e-05,
|
| 97 |
+
"warmup_steps": 1000,
|
| 98 |
+
"lr_schedule": "cosine decay over all 50000 steps to 5e-6 (fresh schedule, not a continuation of the source run)",
|
| 99 |
+
"data_parallel": "pure data parallel (fsdp_devices=1), 4-8 GPUs, global batch 64",
|
| 100 |
+
"norm_stats_file": "norm_stats.json",
|
| 101 |
+
"norm_stats_sha256": "0239d4f15e7f3126a38721118d570b92037f3569f28927016a50be62293c16e6",
|
| 102 |
+
"norm_stats_note": "the level2_single_arm statistics of pi05_lv2sub_20261029 (same frames); padded dims repaired",
|
| 103 |
+
"training_data": "Linslab/ManiLadder_Dataset raw/<task>, 20 demos per task (14 tasks, 280 episodes, 115379 frames)",
|
| 104 |
+
"task_sources": {
|
| 105 |
+
"HangMug-v1": {
|
| 106 |
+
"path": "maniladder/envs/rigid_body/single_arm_gripper/level_2/hang_mug.py",
|
| 107 |
+
"sha256": "18a95ccc658e8725d4d38a6e8f445bb8a22e6671b5647e0e49b87b14a2109f31",
|
| 108 |
+
"level": "level_2",
|
| 109 |
+
"category": "rigid_body/single_arm_gripper",
|
| 110 |
+
"cameras": [
|
| 111 |
+
"front_camera",
|
| 112 |
+
"robot_camera",
|
| 113 |
+
null
|
| 114 |
+
]
|
| 115 |
+
},
|
| 116 |
+
"PivotBook-v1": {
|
| 117 |
+
"path": "maniladder/envs/rigid_body/single_arm_gripper/level_2/pivot_book.py",
|
| 118 |
+
"sha256": "b4a162f84c4c43180ea4bc6e8a98326713273b862b4e24b5f8b03d6d6c8d93cc",
|
| 119 |
+
"level": "level_2",
|
| 120 |
+
"category": "rigid_body/single_arm_gripper",
|
| 121 |
+
"cameras": [
|
| 122 |
+
"front_camera",
|
| 123 |
+
"robot_camera",
|
| 124 |
+
null
|
| 125 |
+
]
|
| 126 |
+
},
|
| 127 |
+
"OpenBoxRetrieval-v1": {
|
| 128 |
+
"path": "maniladder/envs/rigid_body/single_arm_gripper/level_2/open_box_retrieval.py",
|
| 129 |
+
"sha256": "2fade45048b317313439c6f85cc569b0baeb16165f7457379c823abf63bed27b",
|
| 130 |
+
"level": "level_2",
|
| 131 |
+
"category": "rigid_body/single_arm_gripper",
|
| 132 |
+
"cameras": [
|
| 133 |
+
"front_camera",
|
| 134 |
+
"robot_camera",
|
| 135 |
+
null
|
| 136 |
+
]
|
| 137 |
+
},
|
| 138 |
+
"KitAssembly-v1": {
|
| 139 |
+
"path": "maniladder/envs/rigid_body/single_arm_gripper/level_2/kit_assembly.py",
|
| 140 |
+
"sha256": "d7161b09b2a3612f099cf4281e99103afe66f65a39b25dc4f24b9a6d97ed9b2a",
|
| 141 |
+
"level": "level_2",
|
| 142 |
+
"category": "rigid_body/single_arm_gripper",
|
| 143 |
+
"cameras": [
|
| 144 |
+
"front_camera",
|
| 145 |
+
"robot_camera",
|
| 146 |
+
null
|
| 147 |
+
]
|
| 148 |
+
},
|
| 149 |
+
"FoldShirt-v1": {
|
| 150 |
+
"path": "maniladder/envs/deformable/single_arm_gripper/level_2/fold_shirt.py",
|
| 151 |
+
"sha256": "7e6a310b17fbec618f3026aefdd7e0aa2b2ae3fda1202d37fb3ff156ab2ba7fd",
|
| 152 |
+
"level": "level_2",
|
| 153 |
+
"category": "deformable/single_arm_gripper",
|
| 154 |
+
"cameras": [
|
| 155 |
+
"front_camera",
|
| 156 |
+
"robot_camera",
|
| 157 |
+
null
|
| 158 |
+
]
|
| 159 |
+
},
|
| 160 |
+
"ScoopWater-v1": {
|
| 161 |
+
"path": "maniladder/envs/deformable/single_arm_gripper/level_2/scoop_water.py",
|
| 162 |
+
"sha256": "250d33381060b9e4f0f0e2b3f38fd3e365872ee159fbeeee6f66de5a64a3d167",
|
| 163 |
+
"level": "level_2",
|
| 164 |
+
"category": "deformable/single_arm_gripper",
|
| 165 |
+
"cameras": [
|
| 166 |
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"front_camera",
|
| 167 |
+
"robot_camera",
|
| 168 |
+
null
|
| 169 |
+
]
|
| 170 |
+
},
|
| 171 |
+
"StraightenTwoRopesSequential-v1": {
|
| 172 |
+
"path": "maniladder/envs/deformable/single_arm_gripper/level_2/straighten_two_rope.py",
|
| 173 |
+
"sha256": "7c5a2e562811d68514a730933f5d15c132fb007f0c29ce299e8b111a60abb1ab",
|
| 174 |
+
"level": "level_2",
|
| 175 |
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"category": "deformable/single_arm_gripper",
|
| 176 |
+
"cameras": [
|
| 177 |
+
"front_camera",
|
| 178 |
+
"robot_camera",
|
| 179 |
+
null
|
| 180 |
+
]
|
| 181 |
+
},
|
| 182 |
+
"GraspTwoBlocks-v1": {
|
| 183 |
+
"path": "maniladder/envs/rigid_body/single_arm_dex/level_2/grasp_blocks.py",
|
| 184 |
+
"sha256": "5ca6052059d89129ea2053033b959eafe590e119664bbcf431143d371650d66e",
|
| 185 |
+
"level": "level_2",
|
| 186 |
+
"category": "rigid_body/single_arm_dex",
|
| 187 |
+
"cameras": [
|
| 188 |
+
"front_camera",
|
| 189 |
+
"robot_camera",
|
| 190 |
+
null
|
| 191 |
+
]
|
| 192 |
+
},
|
| 193 |
+
"ReorientPen-v1": {
|
| 194 |
+
"path": "maniladder/envs/rigid_body/single_arm_dex/level_2/reorient_pen.py",
|
| 195 |
+
"sha256": "cb46bbdf5dc53cc310e613a1556720d34b444b1333421682cd9b5133972aa386",
|
| 196 |
+
"level": "level_2",
|
| 197 |
+
"category": "rigid_body/single_arm_dex",
|
| 198 |
+
"cameras": [
|
| 199 |
+
"front_camera",
|
| 200 |
+
"robot_camera",
|
| 201 |
+
null
|
| 202 |
+
]
|
| 203 |
+
},
|
| 204 |
+
"DexOpenDoor-v1": {
|
| 205 |
+
"path": "maniladder/envs/rigid_body/single_arm_dex/level_2/open_door.py",
|
| 206 |
+
"sha256": "6c21f64c2a98c359f1d01c67743cd590799b763ba3e1b933b7204d798312d062",
|
| 207 |
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"level": "level_2",
|
| 208 |
+
"category": "rigid_body/single_arm_dex",
|
| 209 |
+
"cameras": [
|
| 210 |
+
"front_camera",
|
| 211 |
+
"robot_camera",
|
| 212 |
+
null
|
| 213 |
+
]
|
| 214 |
+
},
|
| 215 |
+
"HammerNailOut-v1": {
|
| 216 |
+
"path": "maniladder/envs/rigid_body/single_arm_dex/level_2/hammer_nail_out.py",
|
| 217 |
+
"sha256": "f524116a35ee681f0573ed934a47914d71d1ab9ca9cfd610f7d43a574cb8bac4",
|
| 218 |
+
"level": "level_2",
|
| 219 |
+
"category": "rigid_body/single_arm_dex",
|
| 220 |
+
"cameras": [
|
| 221 |
+
"front_camera",
|
| 222 |
+
"robot_camera",
|
| 223 |
+
null
|
| 224 |
+
]
|
| 225 |
+
},
|
| 226 |
+
"ClothWipe-v1": {
|
| 227 |
+
"path": "maniladder/envs/deformable/single_arm_dex/level_2/cloth_wipe.py",
|
| 228 |
+
"sha256": "45ce8bb2815accba3fae96c9411bc24a4c176607691392b121c31c75ebf6d9e4",
|
| 229 |
+
"level": "level_2",
|
| 230 |
+
"category": "deformable/single_arm_dex",
|
| 231 |
+
"cameras": [
|
| 232 |
+
"front_camera",
|
| 233 |
+
"robot_camera",
|
| 234 |
+
null
|
| 235 |
+
]
|
| 236 |
+
},
|
| 237 |
+
"RollingPin-v1": {
|
| 238 |
+
"path": "maniladder/envs/deformable/single_arm_dex/level_2/rooling_pin.py",
|
| 239 |
+
"sha256": "b8d9b39ad2753b9e8f97b8d9117ba1c1c6c16005d90cbab3c8fa30505b4fb62f",
|
| 240 |
+
"level": "level_2",
|
| 241 |
+
"category": "deformable/single_arm_dex",
|
| 242 |
+
"cameras": [
|
| 243 |
+
"front_camera",
|
| 244 |
+
"robot_camera",
|
| 245 |
+
null
|
| 246 |
+
]
|
| 247 |
+
},
|
| 248 |
+
"RopeBridgeDex-v1": {
|
| 249 |
+
"path": "maniladder/envs/deformable/single_arm_dex/level_2/rope_bridge.py",
|
| 250 |
+
"sha256": "bdae492d46519fea218838c421eb3217df1dea4ecd0ec2358df099f4dfc2765f",
|
| 251 |
+
"level": "level_2",
|
| 252 |
+
"category": "deformable/single_arm_dex",
|
| 253 |
+
"cameras": [
|
| 254 |
+
"front_camera",
|
| 255 |
+
"robot_camera",
|
| 256 |
+
null
|
| 257 |
+
]
|
| 258 |
+
}
|
| 259 |
+
},
|
| 260 |
+
"eval_episodes": 50,
|
| 261 |
+
"eval_seed_base": 1000,
|
| 262 |
+
"evaluated_steps": [
|
| 263 |
+
50000
|
| 264 |
+
],
|
| 265 |
+
"selection": "final checkpoint only (no checkpoint selection)",
|
| 266 |
+
"eval_status": "pending (eval_result.json and eval_reports/ are added when the 50-episode sweep finishes)"
|
| 267 |
+
}
|
multi_task/level2_single_arm_from_dual_arm/norm_stats.json
ADDED
|
@@ -0,0 +1,376 @@
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|
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|
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|
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|
| 1 |
+
{
|
| 2 |
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"norm_stats": {
|
| 3 |
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| 4 |
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"q01": [
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