Robotics
mulligan
sim-square-broad
idql-agent

sim-square-broad-r01-baseline-idql

Part of Mulligan. Browse evaluations at Policy Arena; the datasets are in the mulligan organization.

State-based IDQL agent: diffusion actor with scalar IQL critic (policy.pt, a PyTorch checkpoint, and stats.json normalizers).

Property Value
Task sim-square-broad
Model round R1
Arm baseline
Campaign cell square_broad_r1_baseline_uniform_no_cf_human_only
Seeds 1, 2, 3, 4, 5 (one folder per seed)
Training step 250001

Checkpoints

Folder Training run config
seed-1 release/run-configs/sim-square-broad-r01-baseline-idql__seed-1.json
seed-2 release/run-configs/sim-square-broad-r01-baseline-idql__seed-2.json
seed-3 release/run-configs/sim-square-broad-r01-baseline-idql__seed-3.json
seed-4 release/run-configs/sim-square-broad-r01-baseline-idql__seed-4.json
seed-5 release/run-configs/sim-square-broad-r01-baseline-idql__seed-5.json

Evaluations

Held-out initial-state grid; per-rollout outcomes are in the linked dataset.

Dataset Folder N Successes
sim-square-broad-r00-r03-eval seed-1 1 19369/30000
sim-square-broad-r00-r03-eval seed-2 1 19414/30000
sim-square-broad-r00-r03-eval seed-3 1 19385/30000
sim-square-broad-r00-r03-eval seed-4 1 19076/30000
sim-square-broad-r00-r03-eval seed-5 1 19337/30000

Data

Trained on: sim-square-broad-c00-teleop-baseline, sim-square-broad-c01-baseline-policy-rollouts, sim-square-broad-c01-dagger-baseline.

Referenced by the metadata of: sim-square-broad-r00-r03-eval.

Provenance

SHA-256 of every file is recorded in release.json. .pt files are PyTorch pickles; load them only in a trusted environment. The run configs are in the Mulligan code repository; the recipes there retrain each checkpoint. License: mit.

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Collection including mulligan/sim-square-broad-r01-baseline-idql