Revolver - UCI chess engine
Author: Deshawn Mohan-Smith
The first official release of Revolver, a high-performance UCI-compliant chess engine written in C. This engine is powered by a Pure NNUE (Efficiently Updatable Neural Network) evaluation function, trained entirely on data generated from self-play games.
✨ Key Features
Self-Play Training: The network was trained on a dataset generated from millions of games played against itself, independent of any human theory.
UCI Protocol: Fully compatible with most Chess GUIs.
Search: PVS (Principal Variation Search) with basic pruning techniques (Null Move Pruning, Late Move Reductions, Futility Pruning).
Performance: Highly optimized move generation using 64-bit bitboards, for high search throughput.

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