BEHAVIOR Challenge 2026 β€” task 32 (wash_a_baseball_cap), fine-tune ft1, step 40000

Selected checkpoint for the team's BEHAVIOR-1K 2026 submission (task owner: Richard).

Model

  • Architecture: the 2025 BEHAVIOR Challenge winner's pi0.5-based policy (IliaLarchenko/behavior-1k-solution, ~3B params, task-ID embeddings).
  • Init: the winner's task-group specialist checkpoint_3 (IliaLarchenko/behavior_submission), 50 task slots; task 32 uses slot 32.
  • Training config: pi_behavior_b1k_2026_task32 β€” skill-annotation subtask stages, 2026 challenge demos for task 32 (episodes 6400-6579; last 20 held out), RGB cameras only, 50,000 steps, batch 16, peak lr 5e-5, cosine decay.
  • Checkpoint selection: steps 10000/20000/30000/40000/49999 screened on test instances 311-315 (10000 and 49999 dropped: first three all zero; 20000 and 30000 mean 0.10; 40000 mean 0.40).
  • Params-only checkpoint (no optimizer state): params/ (orbax/ocdbt) + assets/ (normalization stats, FAST tokenizer).
  • Serve with serve_b1k.py --task-id 32 policy:checkpoint --policy.config pi_behavior_b1k_2026_task32 --policy.dir <this repo>.

Official public instances 301-310 β€” q = 0.350 (sum 3.5/10)

instance 301 302 303 304 305 306 307 308 309 310
q 0 0 0 1.0 0 1.0 0 0.5 0.5 0.5

Test instances (selection only): 311=0, 312=0, 313=1.0, 314=0, 315=1.0. Evaluation: BEHAVIOR-1K @ b1979916e (v3.9.2 series), RGBDFullResWrapper, r1pro.yaml, one rollout per instance.

Credit

Built on the 2025 winner's code and checkpoint (IliaLarchenko, Apache-2.0).

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