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BEHAVIOR 2026 benchmark server
An implemented, bounded debugging service for BEHAVIOR-1K v3.9.2: one fixed
turning_on_radio public instance. A two-control HTTP native smoke check has
passed; this is not a full-challenge or model capability result.
- Evaluation protocol: schedule, sensors, actions and scoring.
- Native contract: source evidence and acceptance gates.
- Preparation: licensed assets and runtime prerequisites.
server.py is the only public entrypoint. bench_server/ owns adapter, fixed
protocol and private worker communication; environment/ owns native runtime
and readiness. Shared HTTP transport remains in benchkit/sim_server. Agent
policy and result reports belong in AgentPolicies/<agent>/. Historical
tasks.jsonl is a 2025-only inventory, not this service's schedule.
Prepare without starting a simulator
Use a dedicated persistent Python 3.11 / Isaac Sim 5.1 environment and exact source
b1979916ec1549b10a4e65e630bc6504a9af1b00. Obtain the separate dataset license
before downloading restricted assets. Install the native evaluator dependencies;
no model policy server or training weights are needed. Paths are operator inputs.
Run the file-only capture with the native worker interpreter, with this
repository and the source's OmniGibson, bddl3, joylo on PYTHONPATH:
python -B -m benchmarks.simBenchmarks.Behavior.environment.deployment \
--source-root /absolute/behavior-v3.9.2 \
--data-root /absolute/behavior-assets \
--receipts /absolute/extraction-receipts.json \
--output /absolute/new-behavior-deployment.json
The receipts JSON maps behavior-1k-assets, omnigibson-robot-assets, and
2026-challenge-task-instances to extraction receipt paths. Each receipt binds
archive_sha256, source_commit, and absolute extraction target. This establishes
recorded archive/extraction provenance, not every live asset byte. Selected
robot/task files, tracked native package sources, runtime versions, interpreter
and module origins are rechecked before initialization. Stale/untracked source
bytecode is rejected. Capture never imports OmniGibson or resets a scene.
Launch
Copy server.example.json; replace all paths and the
all-zero manifest digest, and select a GPU. A lightweight environment runs the
service; worker_python chooses the separate native runtime.
python -B -m benchmarks.simBenchmarks.Behavior.server \
--parameters /absolute/behavior-server.json --seed 20260922 --episodes 1 \
--port 8765 --output-dir /absolute/new-run/server
Provide RSI_SIM_SERVER_TOKEN through the environment as described in the
shared protocol. Startup/describe do not start SIM.
Resetting a claimed case starts one isolated native worker; native shutdown
cannot terminate the HTTP process. Use a matching trusted service client.
Existing official assets without old extraction receipts
An explicit deployment_track: "official-live-assets/v1" supports already
licensed local assets without claiming their archive/extraction origin. Capture
with the native worker interpreter and the same pinned v3.9.2 source:
python -B -m benchmarks.simBenchmarks.Behavior.environment.deployment \
--deployment-track official-live-assets/v1 \
--source-root /absolute/behavior-v3.9.2 \
--data-root /absolute/existing-licensed-behavior-assets \
--output /absolute/new-behavior-live-deployment.json
Do not supply --receipts for this track. Add the identical deployment_track
to the usual server JSON and use the new manifest path and its printed SHA256.
Both the service and worker reject a manifest from the other track. The default
remains archive-receipts/v1, preserving existing manifest and protocol identities.
The live track verifies the fixed official source, interpreter, module origins, runtime versions, three asset directories and four selected task/robot file hashes before initialization. It records that original archive provenance and the complete asset inventory are not verified. Other live scene/texture assets remain native runtime inputs; a match on four files is not an attestation of all assets. No download, license acceptance or extraction receipt is fabricated.
Its distinct public protocol is
behavior-2026-default-rgb-proprio-debug/official-live-assets/v2. DefaultWrapper,
23-value actions, 61-value state, public radio instance 0/native301, timing,
initialization, scoring and one-attempt semantics are unchanged. Existing native
evidence for the archive track is not evidence for this new deployment track;
perform the same two-control infrastructure acceptance before model evaluation.
The actor supplies 23-value direct actions with prefix 1; optional motion guards are policy-owned. There is no expert, planner, oracle or automatic retry. Preserve initialization errors and uncertain execution. Cache is excluded from transfer; logs, controls, private outcome, three videos and cleanup receipts are retained. A two-control diagnostic is not a failed full episode or an SR measurement.
Verified scope
On 2026-09-23, the fixed public instance 0 (native 301) completed initialization,
two public-state-derived hold controls and clean shutdown through this HTTP
service. Each control advanced four physics ticks (eight total). Three 224×224
RGB cameras and the 61-value robot state were returned; three videos were
retained. There were zero model calls. The diagnostic stopped deliberately after
two controls, with native_episode_complete: false; its Q=0 is not a model
failure or an SR estimate. No other task, full horizon or official RGB-D track
was validated by this check.
Tested service revision: bb3c7e99053e669f7ca83a07c94fa9ef337e12ef.
Closed diagnostic report SHA-256:
3aeb3ad472d8f3d124c600d295a2ebd2a43d934900eecf0393cece821c7ab36a.
Raw no-model evidence remains in operator artifact storage, not participant
model results. Every deployment still needs its own readiness check; a passing
record is not proof that another host has the same assets, drivers or runtime.