BEHAVIOR Challenge 2026 β€” task 42 (chop_an_onion), fine-tune ft1, step 9999

Selected checkpoint for the BEHAVIOR-1K 2026 submission.

Model

  • Architecture: the 2025 BEHAVIOR Challenge winner's pi0.5-based policy (IliaLarchenko/behavior-1k-solution, ~3B params, task-ID embeddings, no language prompt).
  • Init: the winner's task-specific checkpoint_1 (50 task slots).
  • Training config: pi_behavior_b1k_2026_task42 (in our pipeline repo's behavior-1k-solution/src/b1k/training/config.py).
  • Data: 2026 challenge demos, task 42 episodes 8400-8579 (last 20 held out), RGB cameras only.
  • Recipe: 10,000 steps (final step is 9999), batch 16, peak lr 5e-5, 1x A100 80GB.
  • Checkpoint is params-only (no optimizer state): it can be served or used as an init, not --resumed.

Layout

  • params/ β€” orbax/ocdbt parameters
  • assets/b1k_2026_task42/norm_stats.json β€” normalization stats
  • _CHECKPOINT_METADATA

Serve with scripts/serve_b1k.py --task-id 42 policy:checkpoint --policy.config pi_behavior_b1k_2026_task42 --policy.dir <this dir>.

Evaluation (local; q = fraction of goal predicates newly satisfied)

Scored the 2026 leaderboard way: public instances 0-9 (ids 301-310), one rollout each, default 1.5x timeouts, task score = sum / 10.

Task 42 (4 goal predicates)

Leaderboard score: q = 0.15 (sum 1.5 over 301-310; full completions: none)

instance 301 302 303 304 305 306 307 308 309 310
q 0.5 0.25 0 0.25 0 0 0.25 0 0.25 0
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