Auto-sync: 2026-06-28 01:47:01 (part 2)
Browse files
results/README.md
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@@ -22,14 +22,21 @@ Use these summaries for the current paper tables:
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- `h16_policy_ckpt_near_miss_policy_bc5_bestpt_field_sweep_summary.md`
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- `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_v2_summary.md`
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- `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_knn4_v2_summary.md`
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`h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale{0p25,0p50,0p75,1p25}_summary.md`
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`h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_hybrid_k{32,64}_sigma*.md`
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- `h16_policy_ckpt_nonexpert_policy_bc5_summary.md`
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- `h16_policy_ckpt_nonexpert_policy_bc5_bestpt_field_sweep_summary.md`
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- `h16_policy_ckpt_field_selected_noexpert_bc5_summary.md`
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- `h16_policy_ckpt_field_selected_noexpert_bc5_bestpt_field_sweep_summary.md`
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Known stale or incomplete files:
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no-expert candidates for the rest.
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- Jobs `14858328`-`14858333` completed train-split field-teacher distillation:
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direct student rollout is 26.84%, and field-guided rollout is 27.65%.
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Last checked: `2026-06-28 05:
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checkpoint selection and seed-invariant student train coverage.
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- Job `14858450` completed 3 seeds of `field_selected_noexpert_bc5_allmap` with
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100% train/val target-map coverage.
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- Jobs `14858451`/`14858452` and `14858453`/`14858454` are pending priority and
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will evaluate direct and field-guided allmap rollouts.
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- Job `14858455` rebuilds `paper_table_status.*` after the allmap summaries.
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Active residual transport jobs:
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- Code now supports `--retrieval-residual-scale`, defaulting to `1.0` so the
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completed 32.12% result is unchanged.
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- Job `14858978` completed the CPU Apptainer unit smoke for residual scale
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selection after smoke jobs `14858889`/`14858894` caught two wiring bugs before
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rollout jobs started.
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- Jobs `14858875`
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`
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- Job `14858883` rebuilds `paper_table_status.*` after the scale summaries.
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- Job `14859041` completed the CPU Apptainer unit smoke for hybrid
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residual+Gaussian selection.
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- Jobs `14859042`
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Paper table automation:
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- `h16_policy_ckpt_near_miss_policy_bc5_bestpt_field_sweep_summary.md`
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- `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_v2_summary.md`
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- `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_knn4_v2_summary.md`
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- residual scale-sweep summaries:
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`h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale{0p25,0p50,0p75,1p25}_summary.md`
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- residual-family mask summaries, currently active:
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`h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_no_random_summary.md`,
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`h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_no_random_wrongdir_summary.md`,
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`h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p25_no_random_wrongdir_summary.md`,
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`h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_safe_types_summary.md`
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- hybrid summaries:
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`h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_hybrid_k{32,64}_sigma*.md`
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- `h16_policy_ckpt_nonexpert_policy_bc5_summary.md`
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- `h16_policy_ckpt_nonexpert_policy_bc5_bestpt_field_sweep_summary.md`
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- `h16_policy_ckpt_field_selected_noexpert_bc5_summary.md`
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- `h16_policy_ckpt_field_selected_noexpert_bc5_bestpt_field_sweep_summary.md`
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- `h16_policy_ckpt_field_selected_noexpert_bc5_allmap_summary.md`
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- `h16_policy_ckpt_field_selected_noexpert_bc5_allmap_bestpt_field_sweep_summary.md`
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Known stale or incomplete files:
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no-expert candidates for the rest.
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- Jobs `14858328`-`14858333` completed train-split field-teacher distillation:
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direct student rollout is 26.84%, and field-guided rollout is 27.65%.
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- Jobs `14858449`-`14858455` completed aligned all-split field-teacher
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distillation: direct student rollout is 28.00%, and field-guided rollout is
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26.49%.
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Completed residual transport jobs:
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Last checked: `2026-06-28 05:47 UTC`.
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- Code supports `--retrieval-residual-scale`, defaulting to `1.0` so the
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completed 32.12% result is unchanged.
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- Job `14858978` completed the CPU Apptainer unit smoke for residual scale
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selection after smoke jobs `14858889`/`14858894` caught two wiring bugs before
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rollout jobs started.
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- Jobs `14858875`-`14858883` completed residual scales `0.25`, `0.50`, `0.75`,
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and `1.25`. Scale `0.50` is the current best clean deployment bridge at
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33.33%; scale `0.25` ties the previous clean best at 32.93%.
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- Job `14859041` completed the CPU Apptainer unit smoke for hybrid
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residual+Gaussian selection.
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- Jobs `14859042`-`14859046` completed residual+Gaussian hybrids. K32/sigma0.35
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reaches 31.30%; K64/sigma0.50 reaches 30.90%, so Gaussian hybridization is a
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negative diagnostic.
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Active residual-family mask jobs:
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- Jobs `14859141`/`14859142` evaluate and summarize residual scale `0.50` while
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excluding `residual_random_negative`.
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- Jobs `14859143`/`14859144` evaluate and summarize residual scale `0.50` while
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excluding `residual_random_negative` and `residual_wrong_direction`.
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- Jobs `14859145`/`14859146` evaluate and summarize residual scale `0.25` with
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the same random/wrong-direction mask.
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- Jobs `14859147`/`14859148` evaluate and summarize residual scale `0.50` with
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the policy/no-op/wrong-gripper residual families.
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- Job `14859149` rebuilds `paper_table_status.*` after the masked summaries.
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Paper table automation:
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results/dovla_cil_run_report_2026-06-27.md
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@@ -13,7 +13,7 @@ The deployed h=16 behavior-cloning policy remains weak, but the interventional f
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| Near-miss distillation policy, BC x5 | 28.29% | -1.45 pp | Stronger BC improves slightly but remains below baseline |
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| Near-miss proposal + field, best-policy checkpoint | 26.32% | -3.42 pp | Field scoring around the BC-selected checkpoint is worse |
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| Near-miss proposal + field, field checkpoint | 30.14% | +0.41 pp | Deployment-clean route begins to recover the mechanism |
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| Near-miss proposal + field, BC x5 field checkpoint | 32.93% | +3.19 pp |
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| Lattice field selection, no expert candidates | 56.99% | +27.25 pp | Conservative, reviewer-safe result |
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| Lattice field selection, near-miss only | 55.94% | +26.20 pp | Minimal local counterfactual proposal family |
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| Lattice field selection, no expert and no near-miss | 25.57% | -4.17 pp | Confirms near-miss proposals carry the gain |
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| Best non-expert proposal + field | 26.49% | -3.25 pp | Broad proposal-field bridge also fails |
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| Field-selected no-expert policy, seed-0 train map | 26.84% | -2.90 pp | Train-split field-teacher student fails |
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| Field-selected no-expert policy + field, seed-0 train map | 27.65% | -2.09 pp | Field scoring around that student remains below baseline |
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| KNN train-state residual retrieval | 29.91% | +0.17 pp | More retrieved tangent neighborhoods dilute the signal |
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Canonical summaries:
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- `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_field_sweep_summary.md`
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- `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_v2_summary.md`
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- `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_knn4_v2_summary.md`
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- `results/h16_policy_ckpt_nonexpert_policy_bc5_summary.md`
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- `results/h16_policy_ckpt_nonexpert_policy_bc5_bestpt_field_sweep_summary.md`
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- `results/h16_field_optim_near_miss_policy_bc5_bestpt_s4_trust05_afterany_summary.md`
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- `results/paper_table_status.md`
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- `results/field_selected_target_map_summary.md`
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- `results/h16_lattice_no_near_miss_no_expert_summary.md` was produced before fixing Slurm comma handling for multi-type exclusion. Use the `_v2` file instead.
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- `results/h16_policy_ckpt_near_miss_policy_bc5_field_k32_sigma0p35_summary.md` is absent/incomplete because the last seed was canceled after the `best.pt` field-checkpoint variant superseded it.
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## Current Update - 2026-06-28 05:
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The old optimistic h=16 policy story is no longer the paper story. Direct BC
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rollout stayed near 30%, while the same-state no-expert lattice reached 56.99%.
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- all split: 2,873 groups, 2,273 `near_miss`, 600 non-near-miss no-expert targets.
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- Train-split field-teacher distillation completed as a negative diagnostic:
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direct student 26.84%, field-guided best 27.65%.
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Use `results/paper_table_status.md` as the canonical current table. The job
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table below is historical and includes statuses that were true at earlier
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| Near-miss distillation policy, BC x5 | 28.29% | -1.45 pp | Stronger BC improves slightly but remains below baseline |
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| Near-miss proposal + field, best-policy checkpoint | 26.32% | -3.42 pp | Field scoring around the BC-selected checkpoint is worse |
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| Near-miss proposal + field, field checkpoint | 30.14% | +0.41 pp | Deployment-clean route begins to recover the mechanism |
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| Near-miss proposal + field, BC x5 field checkpoint | 32.93% | +3.19 pp | Strong deployment-clean bridge (`k64_sigma0.50`) |
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| Lattice field selection, no expert candidates | 56.99% | +27.25 pp | Conservative, reviewer-safe result |
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| Lattice field selection, near-miss only | 55.94% | +26.20 pp | Minimal local counterfactual proposal family |
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| Lattice field selection, no expert and no near-miss | 25.57% | -4.17 pp | Confirms near-miss proposals carry the gain |
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| Best non-expert proposal + field | 26.49% | -3.25 pp | Broad proposal-field bridge also fails |
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| Field-selected no-expert policy, seed-0 train map | 26.84% | -2.90 pp | Train-split field-teacher student fails |
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| Field-selected no-expert policy + field, seed-0 train map | 27.65% | -2.09 pp | Field scoring around that student remains below baseline |
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| Field-selected no-expert policy, aligned allmap | 28.00% | -1.74 pp | 100% target-map coverage still fails |
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| Field-selected no-expert policy + field, aligned allmap | 26.49% | -3.25 pp | Aligned field-teacher student remains below baseline |
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| Train-state residual retrieval | 32.12% | +2.38 pp | Positive clean bridge |
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| Train-state residual retrieval, scale 0.25 | 32.93% | +3.19 pp | Smaller tangent step ties prior clean best |
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| Train-state residual retrieval, scale 0.50 | 33.33% | +3.59 pp | Current best deployment-clean bridge |
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| Train-state residual retrieval, scale 0.75 | 32.70% | +2.96 pp | Larger tangent step is weaker |
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| Train-state residual retrieval, scale 1.25 | 32.52% | +2.78 pp | Further scale increase does not help |
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| Residual+Gaussian hybrid, K32 sigma0.35 | 31.30% | +1.57 pp | Hybrid proposals dilute residual transport |
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| Residual+Gaussian hybrid, K64 sigma0.50 | 30.90% | +1.16 pp | Larger hybrid search is worse |
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| KNN train-state residual retrieval | 29.91% | +0.17 pp | More retrieved tangent neighborhoods dilute the signal |
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Canonical summaries:
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- `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_field_sweep_summary.md`
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- `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_v2_summary.md`
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- `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_knn4_v2_summary.md`
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- `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_summary.md`
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- `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_hybrid_k32_sigma0p35_summary.md`
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- `results/h16_policy_ckpt_nonexpert_policy_bc5_summary.md`
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- `results/h16_policy_ckpt_nonexpert_policy_bc5_bestpt_field_sweep_summary.md`
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- `results/h16_policy_ckpt_field_selected_noexpert_bc5_allmap_summary.md`
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- `results/h16_policy_ckpt_field_selected_noexpert_bc5_allmap_bestpt_field_sweep_summary.md`
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- `results/h16_field_optim_near_miss_policy_bc5_bestpt_s4_trust05_afterany_summary.md`
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- `results/paper_table_status.md`
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- `results/field_selected_target_map_summary.md`
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- `results/h16_lattice_no_near_miss_no_expert_summary.md` was produced before fixing Slurm comma handling for multi-type exclusion. Use the `_v2` file instead.
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- `results/h16_policy_ckpt_near_miss_policy_bc5_field_k32_sigma0p35_summary.md` is absent/incomplete because the last seed was canceled after the `best.pt` field-checkpoint variant superseded it.
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## Current Update - 2026-06-28 05:47 UTC
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The old optimistic h=16 policy story is no longer the paper story. Direct BC
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rollout stayed near 30%, while the same-state no-expert lattice reached 56.99%.
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- all split: 2,873 groups, 2,273 `near_miss`, 600 non-near-miss no-expert targets.
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- Train-split field-teacher distillation completed as a negative diagnostic:
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direct student 26.84%, field-guided best 27.65%.
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- Aligned all-split field-teacher distillation completed as a negative
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diagnostic: direct student 28.00%, field-guided best 26.49%, despite 100%
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target-map coverage.
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- Residual scale sweep completed. Scale `0.50` is now the strongest
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deployment-clean result at 33.33%; scale `0.25` ties the previous clean best
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at 32.93%; scales `0.75` and `1.25` are weaker at 32.70% and 32.52%.
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- Residual+Gaussian hybrids completed as negative diagnostics: K32/sigma0.35 is
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31.30%, K64/sigma0.50 is 30.90%.
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Active residual-family mask jobs:
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- `14859141`/`14859142`: scale `0.50`, excluding `residual_random_negative`.
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- `14859143`/`14859144`: scale `0.50`, excluding `residual_random_negative` and
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`residual_wrong_direction`.
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- `14859145`/`14859146`: scale `0.25`, excluding the same anti-goal residuals.
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- `14859147`/`14859148`: scale `0.50`, keeping policy/no-op/wrong-gripper
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residual families.
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- `14859149`: rebuilds `paper_table_status.*` after the masked summaries.
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The motivation for this batch is the observed selected-candidate distribution
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in the 33.33% scale-0.50 run: `residual_random_negative` and
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`residual_wrong_direction` were selected 154 times across seeds and had low
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conditional success. If masked residual transport improves, the clean story
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becomes tighter: transferable local tangent proposals help only when the
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proposal family is consistent with the counterfactual field's local geometry.
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Use `results/paper_table_status.md` as the canonical current table. The job
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table below is historical and includes statuses that were true at earlier
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results/h16_policy_ckpt_field_selected_noexpert_bc5_allmap_bestpt_field_sweep_summary.json
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+
"oracle_success_rate": 1.0,
|
| 890 |
+
"policy_expert_regret": 0.5248040548852972,
|
| 891 |
+
"policy_oracle_regret": 0.626877814262837,
|
| 892 |
+
"policy_rollout_progress": 0.6974465100614874,
|
| 893 |
+
"policy_rollout_success_rate": 0.6756756756756757,
|
| 894 |
+
"restore_max_error": 4.76837158203125e-07
|
| 895 |
+
},
|
| 896 |
+
"StackCube-v1": {
|
| 897 |
+
"action_mse_to_best": 0.6563135829068475,
|
| 898 |
+
"expert_success_rate": 0.6923076923076923,
|
| 899 |
+
"num_groups": 91,
|
| 900 |
+
"oracle_success_rate": 0.8571428571428571,
|
| 901 |
+
"policy_expert_regret": 1.148159778543881,
|
| 902 |
+
"policy_oracle_regret": 1.320280983061581,
|
| 903 |
+
"policy_rollout_progress": 0.3452037635085347,
|
| 904 |
+
"policy_rollout_success_rate": 0.15384615384615385,
|
| 905 |
+
"restore_max_error": 3.948807716369629e-07
|
| 906 |
+
}
|
| 907 |
+
}
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"config": "k8_sigma0.10",
|
| 911 |
+
"seed": 2,
|
| 912 |
+
"path": "/scratch/knguy52/dovla/experiments/dovla_h16_policy_ckpt_field_selected_noexpert_bc5_allmap_bestpt_field_sweep/k8_sigma0.10/seed_2/online_rollout.json",
|
| 913 |
+
"selection_mode": "field",
|
| 914 |
+
"num_candidates": 8,
|
| 915 |
+
"candidate_sigma": 0.1,
|
| 916 |
+
"field_optim_steps": 0,
|
| 917 |
+
"field_optim_step_size": 0.0,
|
| 918 |
+
"field_optim_trust_radius": 0.0,
|
| 919 |
+
"field_optim_l2_penalty": 0.0,
|
| 920 |
+
"retrieval_neighbors": 0,
|
| 921 |
+
"num_groups": 575,
|
| 922 |
+
"policy_rollout_success_rate": 0.2991304347826087,
|
| 923 |
+
"policy_rollout_progress": 0.50525639095331,
|
| 924 |
+
"oracle_success_rate": 0.8765217391304347,
|
| 925 |
+
"action_mse_to_best": 0.5051302295639787,
|
| 926 |
+
"per_task": {
|
| 927 |
+
"LiftPegUpright-v1": {
|
| 928 |
+
"action_mse_to_best": 0.37213402109046,
|
| 929 |
+
"expert_success_rate": 0.8229166666666666,
|
| 930 |
+
"num_groups": 96,
|
| 931 |
+
"oracle_success_rate": 0.9270833333333334,
|
| 932 |
+
"policy_expert_regret": 1.068213837997367,
|
| 933 |
+
"policy_oracle_regret": 1.1885378474059205,
|
| 934 |
+
"policy_rollout_progress": 0.5471540091869732,
|
| 935 |
+
"policy_rollout_success_rate": 0.19791666666666666,
|
| 936 |
+
"restore_max_error": 3.5762786865234375e-07
|
| 937 |
+
},
|
| 938 |
+
"PickCube-v1": {
|
| 939 |
+
"action_mse_to_best": 0.45110814376837677,
|
| 940 |
+
"expert_success_rate": 0.9444444444444444,
|
| 941 |
+
"num_groups": 198,
|
| 942 |
+
"oracle_success_rate": 0.9595959595959596,
|
| 943 |
+
"policy_expert_regret": 1.17821413813855,
|
| 944 |
+
"policy_oracle_regret": 1.1923428457136256,
|
| 945 |
+
"policy_rollout_progress": 0.5125031768429008,
|
| 946 |
+
"policy_rollout_success_rate": 0.23737373737373738,
|
| 947 |
+
"restore_max_error": 4.76837158203125e-07
|
| 948 |
+
},
|
| 949 |
+
"PullCube-v1": {
|
| 950 |
+
"action_mse_to_best": 0.7196254622915552,
|
| 951 |
+
"expert_success_rate": 0.24444444444444444,
|
| 952 |
+
"num_groups": 90,
|
| 953 |
+
"oracle_success_rate": 0.4666666666666667,
|
| 954 |
+
"policy_expert_regret": 0.3943389943731341,
|
| 955 |
+
"policy_oracle_regret": 0.6857609202705337,
|
| 956 |
+
"policy_rollout_progress": 0.28567321347767977,
|
| 957 |
+
"policy_rollout_success_rate": 0.14444444444444443,
|
| 958 |
+
"restore_max_error": 4.0978193283081055e-07
|
| 959 |
+
},
|
| 960 |
+
"PushCube-v1": {
|
| 961 |
+
"action_mse_to_best": 0.4191755559479836,
|
| 962 |
+
"expert_success_rate": 0.8514851485148515,
|
| 963 |
+
"num_groups": 101,
|
| 964 |
+
"oracle_success_rate": 1.0,
|
| 965 |
+
"policy_expert_regret": 0.37985018205524673,
|
| 966 |
+
"policy_oracle_regret": 0.43452872099852796,
|
| 967 |
+
"policy_rollout_progress": 0.7931940512786998,
|
| 968 |
+
"policy_rollout_success_rate": 0.7722772277227723,
|
| 969 |
+
"restore_max_error": 4.76837158203125e-07
|
| 970 |
+
},
|
| 971 |
+
"StackCube-v1": {
|
| 972 |
+
"action_mse_to_best": 0.6478064527942075,
|
| 973 |
+
"expert_success_rate": 0.7666666666666667,
|
| 974 |
+
"num_groups": 90,
|
| 975 |
+
"oracle_success_rate": 0.9111111111111111,
|
| 976 |
+
"policy_expert_regret": 1.2381264418363571,
|
| 977 |
+
"policy_oracle_regret": 1.3742724594142701,
|
| 978 |
+
"policy_rollout_progress": 0.3410758056574398,
|
| 979 |
+
"policy_rollout_success_rate": 0.16666666666666666,
|
| 980 |
+
"restore_max_error": 4.76837158203125e-07
|
| 981 |
+
}
|
| 982 |
+
}
|
| 983 |
+
}
|
| 984 |
+
]
|
| 985 |
+
}
|
results/h16_policy_ckpt_field_selected_noexpert_bc5_allmap_bestpt_field_sweep_summary.md
ADDED
|
@@ -0,0 +1,18 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# h=16 Field-Guided Rollout Sweep
|
| 2 |
+
|
| 3 |
+
Result root: `/scratch/knguy52/dovla/experiments/dovla_h16_policy_ckpt_field_selected_noexpert_bc5_allmap_bestpt_field_sweep`
|
| 4 |
+
Completed result files: 12
|
| 5 |
+
Baseline h=4 policy success: 29.67%
|
| 6 |
+
Baseline h=16 policy success: 29.74%
|
| 7 |
+
|
| 8 |
+
| config | seeds | mean success | gain vs h=16 | progress | action MSE |
|
| 9 |
+
|---|---:|---:|---:|---:|---:|
|
| 10 |
+
| k16_sigma0.20 | 3 | 26.49% | -3.25% | 49.20% | 0.484 |
|
| 11 |
+
| k32_sigma0.35 | 3 | 26.38% | -3.36% | 49.07% | 0.492 |
|
| 12 |
+
| k8_sigma0.10 | 3 | 26.38% | -3.36% | 49.22% | 0.479 |
|
| 13 |
+
| k64_sigma0.50 | 3 | 26.32% | -3.42% | 48.75% | 0.500 |
|
| 14 |
+
|
| 15 |
+
Best config:
|
| 16 |
+
- k16_sigma0.20
|
| 17 |
+
- mean success: 26.49%
|
| 18 |
+
- gain vs h=16 policy: -3.25%
|