z2i-rs
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Details for z2i-rs
Package name
- z2i-rs
License
- MIT
Last updated
- 7 September 2026 - latest/beta
- 12 September 2026 - latest/edge
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Gomoku/Renju AI engine with neural network and MCTS
Z2I_rs is a Gomoku/Renju AI engine based on a neural network and Monte Carlo Tree Search (MCTS), implementing the Gomocup/Piskvork console protocol (START/BEGIN/TURN/BOARD/INFO/ABOUT/END) over stdin/stdout. It bundles ONNX Runtime inference and supports FreeStyle, Standard, Renju, Caro and Standard+Caro rule flags.
The snap ships the engine binary only; no weights are bundled.
Configuration:
- On startup the engine looks for config.toml in the user config directory (~/snap/z2i-rs/current/.config/Z2I_rs/), then in the current working directory, then next to the executable.
- Point the [model] entries at your own ONNX weights (default_model, free_style_model, renju_model, standard_model, caro_model, standard_caro_model). Absolute paths are used as-is; relative paths are resolved against the working directory first, then the executable directory.
- [MCTS] controls num_mct_sims, num_sim_per_batch, open_mind and enable_ponder; [ONNXRUNTIME] controls num_intra_thread.
- A template covering all supported keys is available in the source repository at snap/config.toml.
Notes:
- The neural network input tensor is fixed at 3x15x15; use weights exported for a 15x15 board.
- Without a valid model the engine still plays, using plain MCTS (weaker).
Use it with a Gomoku manager such as qpiskvork.
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The build and commit information is derived from build infrastructure records.
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