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geyuxu/
alife2026-model

Name: alife2026-model
Availability: InStock

pytorch

artificial-life

neuroevolution

reinforcement-learning

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ALife 2026 model content

This directory is excluded from the single GitHub repository rooted at alife2026/. It is the local content tree managed and published through the ALife 2026 Hugging Face model repository, and stores trained PyTorch controllers separately from source code and experimental datasets.

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Paths preserve their former experiment-relative structure:

text

model/
├── best_brain.pt
└── <experiment>/
    └── models/
        ├── <condition>_run<N>.pt
        └── checkpoints/

The primary frozen evaluation uses:

v4.4_cross_20260224_2238_G50000_R3_C5000/models/

It contains six conditions, three matched training runs per condition, and two controller architectures (MLP4 and Wide128). In the complete local workspace, the authoritative SHA-256 list is tracked by the root GitHub repository at:

doc/evaluation/linux_eval_handoff/MODEL_SHA256SUMS.txt

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python

import torch
from pathlib import Path

# Run from the alife2026 workspace root.
path = Path("model") / (
    "v4.4_cross_20260224_2238_G50000_R3_C5000/"
    "models/cross_evoevo_mlp4_run0.pt"
)
checkpoint = torch.load(path, map_location="cpu", weights_only=True)

The source code under src/ discovers this directory through ALIFE_MODEL_ROOT, which defaults to the root-level model/ directory.

The frozen-evaluation source baseline before this workspace reorganization was commit 520c409b8e5f34403c4a13a8308e626cbeb44a4b. Record the final root-repository commit alongside any newly published evaluation batch.

geyuxu/alife2026-model

ALife 2026 model content

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geyuxu/
alife2026-model