perf: alpha-beta pruning

This commit is contained in:
dogeystamp 2024-10-27 17:34:41 -04:00
parent 39d5ebc2b3
commit 8d5ea3de31

View File

@ -20,9 +20,34 @@ use std::cmp::max;
// min can't be represented as positive
const EVAL_WORST: EvalInt = -(EvalInt::MAX);
const EVAL_BEST: EvalInt = EvalInt::MAX;
#[cfg(test)]
mod test_eval_int {
use super::*;
#[test]
fn test_eval_worst_best_symm() {
// int limits will bite you if you don't test this
assert_eq!(EVAL_WORST, -EVAL_BEST);
assert_eq!(-EVAL_WORST, EVAL_BEST);
}
}
/// Search the game tree to find the absolute (positive good) eval for the current player.
fn minmax(board: &mut Board, depth: usize) -> EvalInt {
///
/// # Arguments
///
/// * board: board position to analyze.
/// * depth: how deep to analyze the game tree.
/// * alpha: best score (absolute, from current player perspective) guaranteed for current player.
/// * beta: best score (absolute, from current player perspective) guaranteed for other player.
fn minmax(board: &mut Board, depth: usize, alpha: Option<EvalInt>, beta: Option<EvalInt>) -> EvalInt {
// default to worst, then gradually improve
let mut alpha = alpha.unwrap_or(EVAL_WORST);
// our best is their worst
let beta = beta.unwrap_or(EVAL_BEST);
if depth == 0 {
let eval = board.eval();
match board.turn {
@ -46,8 +71,19 @@ fn minmax(board: &mut Board, depth: usize) -> EvalInt {
for mv in mvs {
let anti_mv = mv.make(board);
abs_best = max(abs_best, -minmax(board, depth - 1));
let abs_score = -minmax(board, depth - 1, Some(-beta), Some(-alpha));
abs_best = max(abs_best, abs_score);
alpha = max(alpha, abs_best);
anti_mv.unmake(board);
if alpha >= beta {
// alpha-beta prune.
//
// Beta represents the best eval that the other player can get in sibling branches
// (different moves in the parent node). Alpha >= beta means the eval here is _worse_
// for the other player, so they will never make the move that leads into this branch.
// Therefore, we stop evaluating this branch at all.
break;
}
}
abs_best
@ -64,7 +100,7 @@ fn search(board: &mut Board) -> Option<Move> {
for mv in mvs {
let anti_mv = mv.make(board);
let abs_eval = -minmax(board, DEPTH);
let abs_eval = -minmax(board, DEPTH, None, None);
if abs_eval >= best_eval {
best_eval = abs_eval;
best_mv = Some(mv);