mulligan/real-square-d2-r01-eval

Thread Nut: round 1 evaluation

Real-robot held-out evaluation for the Mulligan paper, one dataset per task-round. Episodes from every evaluation session of this round are joined on the initial state (meta/start_table.parquet: one row per start, one column group per policy).

Sessions

session_id is the fixed release block ID of the recording; it never gets renumbered.

Session	Results saved	Sobol seed	Start indices	Cameras
b01	2026-06-26	2026062502	0-49	2

Policies

Session	Policy	Method	Role	Successes
b01	baseline_r01_dp	HG-DAgger	counted	11/50
b01	mulligan_no_cf_r01_dp	HG-DAgger+Mulligan no-CF	no-cf-ablation	14/50
b01	mulligan_r01_dp	HG-DAgger+Mulligan	counted	17/50

Pooled by checkpoint (success rate over every eligible block in this round):

Policy key	Successes	Sessions
hg_dagger	11/50	b01
hg_dagger_mulligan_no_cf	14/50	b01
hg_dagger_mulligan	17/50	b01

role is counted for the paper's headline methods and no-cf-ablation for the HG-DAgger+Mulligan actor trained without counterfactual demonstrations (paper CF ablation).

Pooling rule

1. Pool by checkpoint (actor weights + critic + N), not by method name.
2. Eligible blocks are the round's final evaluations only: blinded, interleaved, on fresh Sobol starts disjoint from training. Critic-selection screens and superseded blocks are excluded.
3. Success rates pool every eligible block the checkpoint ran on in that round.
4. Paired tests pair only within a session, stratified by session. Never pair across sessions.
5. A repeat of a whole evaluation block on the same starts replaces the earlier block. Drift checks are excluded.
6. The plotted (deployed) point in each round is the policy that collected the next round's data.

Cameras and fields

Cameras: observation.images.wrist_left, observation.images.side_1. Where sessions recorded different camera sets, the dataset keeps the cameras every session shares; missing streams are never synthesized.

Videos are the original recordings (byte-identical files, never re-encoded). Outcomes and step counts in meta/episode_provenance.parquet are the reviewed values used by the paper and the Policy Arena; per-session source results, manifests and review records are preserved under meta/sessions/.

Files

• meta/episode_provenance.parquet: session, source repository/episode, start key, policy, model IDs, role, outcome.
• meta/start_table.parquet: per-start outcomes by policy.
• meta/round_dataset.json: sessions, policies, pooled counts and the lock hash.
• results.json, results_eval_time.json: the evaluation runner's record of the session (arguments, rollouts, summary); results.json has the reviewed outcomes, results_eval_time.json the outcomes at evaluation time.
• .label_history.jsonl: append-only history of every outcome and stage label, one JSON event per line; the latest human label wins.

Release: release-1. Paper: real-world results table and appendix "Evaluation protocol".