Combining supervised pretraining on master-level games with AlphaZero-style self-play reinforcement learning, using a SE-ResNet architecture with spatial attention and Win/Draw/Loss value estimation.
Abstract: Modern JavaScript engines employ multi-tier JIT compilation for high performance, but these aggressive optimizations often introduce subtle and hard-to-detect security vulnerabilities.
A C++ chess engine featuring an Alpha-Beta pruning search with iterative deepening and a (minimal, under dev)Universal Chess Interface (UCI). This project includes a Python wrapper to deploy the ...
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