The Leela Chess Zero policy network encodes information about destination squares of moves up to seven plies ahead, with attention heads that copy future-square information backward in time in a pattern-dependent way.
• The puzzle’s PV must not be a checkmate
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Understanding the learned look-ahead behavior of chess neural networks
The Leela Chess Zero policy network encodes information about destination squares of moves up to seven plies ahead, with attention heads that copy future-square information backward in time in a pattern-dependent way.