Enclosure v1
Policy and value network for Enclosure, trained by self-play.
Code: https://github.com/iviazovetskyi/EnclosurePublic
Self-play games: https://huggingface.co/datasets/iviazovetskyi/enclosure-public
model.pt is a PyTorch checkpoint with keys cfg, model, and step. The optimizer state is not included.
- Architecture: 10 residual blocks, 128 channels, about 3.3 million parameters (version 1).
- Training step: 351400.
i8-s32.wasm is a Constellation bot with int8 weights and 32 playouts. It was built from the step 350000 checkpoint, 1,400 steps before model.pt.
Load the checkpoint with the bot server:
python rl/server.py
The server downloads this file on startup. A local .pt path also works.
License
MIT. See the GitHub repository.
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