| # Run the additional model-removed simulations | |
| Released 2026-10-22: PushBlockCollab, FoodCollector, StrikersVsGoalie, | |
| Hallway, GridWorld, Sorter, WallJump. | |
| The players contain no baked-in policy. Download their stock ONNX separately or | |
| send your own actions through ML-Agents. | |
| Use a dedicated Python 3.10 environment: | |
| ```bash | |
| pip install -r unity-envs/tools/requirements-simulation.txt | |
| ``` | |
| Download one Windows environment, external policy, and runner: | |
| ```python | |
| from huggingface_hub import snapshot_download | |
| snapshot_download( | |
| repo_id="ccnets/causal-gpt-rl-unity-envs", repo_type="dataset", | |
| allow_patterns=["PushBlockCollab/**", "PushBlockCollab.onnx", "tools/**"], | |
| local_dir="unity-envs", | |
| ) | |
| ``` | |
| ```bash | |
| python unity-envs/tools/probe_simulation.py --build unity-envs/PushBlockCollab/PushBlockCollab.exe --policies unity-envs --report probe.json --ticks 1000 | |
| ``` | |
| Add `--graphics --time-scale 1` to view the scene in real time. Use `--random` | |
| to supply random actions without loading any ONNX. Set distinct `--worker-id` | |
| values when launching multiple players concurrently. Close the run with Ctrl+C. | |
| For FoodCollector, fetch `FoodCollector/**` and `GridFoodCollector.onnx` instead. | |
| For StrikersVsGoalie, fetch `StrikersVsGoalie/**`, `Striker.onnx`, and `Goalie.onnx`; | |
| both role policies are required. The runner reads policy names from each player's | |
| `simulation-build.json` and routes them to the corresponding behavior. | |
| Linux players are under `linux/<Environment>/`. Download that prefix instead of | |
| the Windows prefix, use the same root ONNX files, run | |
| `chmod +x unity-envs/linux/<Environment>/<Environment>.x86_64`, and pass the | |
| `.x86_64` path to `--build`. A graphical run needs an available display. These | |
| Linux players were startup-tested under Ubuntu/WSL; stock-policy rollouts were | |
| verified on Windows only. | |
| The runner preserves the native grid tensor and separate vector sensors, applies | |
| action masks, and handles continuous, discrete, and hybrid action spaces. It is | |
| a smoke-test/viewer tool and does not record Minari trajectories or instruction | |
| labels. The JSON reports contain raw reward sums, not calibrated skill scores; | |
| group-reward sums count rewards on each agent row, not unique team outcomes. | |
| `tools/AdditionalSimulationBuild.cs` is the build helper. It opens copies of the | |
| three release-23 scenes in an isolated Unity project, unpacks prefabs, removes | |
| model references, sets external-control behavior, and rejects a build if its | |
| packed asset report includes ONNX/NN. Run with Unity 6000.0.40f1: | |
| ```text | |
| -batchmode -force-d3d11 -projectPath <isolated-release23-project> -executeMethod AdditionalSimulationBuild.Build -simulationOutput <output> | |
| ``` | |
| Place the helper in `Assets/Editor/` first. For Linux add | |
| `-buildTarget Linux64 -simulationTarget StandaloneLinux64`. The local customized | |
| source project used here is not redistributed; this helper alone is not a full | |
| source project archive. | |
| ## Remaining four scenes | |
| Download `<Environment>/**`, its policy file(s), and `tools/**` as above: | |
| | Environment | External files | Runtime requirement | | |
| |---|---|---| | |
| | Hallway | `Hallway.onnx` | Per-agent recurrent memory, reset on episode endings | | |
| | GridWorld | `GridWorld.onnx` | Camera rendering and action masks | | |
| | Sorter | `Sorter.onnx` | Preserve padded variable-size buffer | | |
| | WallJump | `SmallWallJump.onnx`, `BigWallJump.onnx` | Route dynamic behavior names to both policies | | |
| ```bash | |
| python unity-envs/tools/probe_simulation.py --build unity-envs/Hallway/Hallway.exe --policies unity-envs --report hallway-probe.json --ticks 1000 | |
| python unity-envs/tools/probe_simulation.py --build unity-envs/GridWorld/GridWorld.exe --policies unity-envs --report grid-probe.json --ticks 1000 --render | |
| python unity-envs/tools/probe_simulation.py --build unity-envs/Sorter/Sorter.exe --policies unity-envs --report sorter-probe.json --ticks 1000 | |
| python unity-envs/tools/probe_simulation.py --build unity-envs/WallJump/WallJump.exe --policies unity-envs --report wall-probe.json --ticks 1000 | |
| ``` | |
| Hallway's state is keyed by agent ID, not batch row. Memory is advanced only | |
| when an agent requests a decision and cleared on terminal or interrupted steps. | |
| The runner registers StatsSideChannel for scene statistics. GridWorld uses a | |
| rendering device even in `--render` batchmode; a Linux server must provide a | |
| working graphics backend/display for camera observations. Linux startup checks | |
| alone do not validate camera pixels. Sorter exposes `VARIABLE_SIZE` on its buffer | |
| dimension; do not discard this contract when designing a recorder. | |
| Wall Jump's existing controller keeps its per-episode behavior switch, with | |
| all model references removed. Both behavior specs were exercised in the Windows | |
| probe; their initial allocation was 8 SmallWallJump and 16 BigWallJump agents, | |
| and this allocation changes during play. Count physical agents, not cumulative | |
| behavior slots, for scene population. All four Windows stock probes passed | |
| 1,000 ticks. Linux policy rollouts remain untested; native startup checks passed. | |
| The build helper now supports all seven scenes. Add | |
| `-simulationEnvironments Hallway,GridWorld,Sorter,WallJump` to build only this | |
| batch. Some scenes need a graphics device while building their lighting data; | |
| keep the editor in batchmode and omit `-nographics` for those builds. | |