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@@ -22,7 +22,7 @@ Download and extract a recent version of buildroot into the working directory. E Standard adversarial tree search (α-β negamax) with iterative deepening, using a neural network evaluation function for leaves and also a transposition table keyed on the Zobrist hash. -The architecture of the neural network is a standard, two-layer dense network which is trained exclusively through self-play using td-leaf (see `src/nn_train.py`). As input the network is fed the top layer of the board only as well as `flats used/flats remaining` fractions for both players and a single float indicating the parity of the board. +The architecture of the neural network is a standard, two-layer dense network which is trained exclusively through self-play using td-leaf (see the `train/` uv project: `cd train && uv run nn-train`). As input the network is fed the top layer of the board only as well as `flats used/flats remaining` fractions for both players and a single float indicating the parity of the board. ## License |