Created
November 30, 2012 04:53
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Refactored recursive minimax with alpha/beta pruning (Flog score: 12)
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def minimax_with_alpha(max_player = true, ply = 0, alpha = -1000, beta = 1000) | |
return(board.winner? ? winning_score(max_player, ply) : 0) if base_case_satisfied? | |
ab_value = max_player ? -1000 : 1000 | |
ab_value, best_move = gen_score_game_tree(max_player, ply, alpha, beta, ab_value) | |
return( ply == 0 ? best_move : ab_value) | |
end | |
def gen_score_game_tree(max_player, ply, alpha, beta, ab_value) | |
best_move = 0 | |
available_moves.each do |index| | |
board[][index] = mark_curr_player_side(max_player) | |
score = minimax_with_alpha(!max_player, ply + 1, alpha, beta) | |
alpha, beta, ab_value, best_move = eval_score(max_player, index, score, alpha, beta, ab_value, best_move) | |
undo_move(index) | |
break if alpha_beta_swapped?(alpha, beta) | |
end | |
[ab_value, best_move] | |
end | |
def eval_score(max_player, index, score, alpha, beta, ab_value, best_move) | |
best_move, alpha, ab_value = [index, score, score] if max_player && score > ab_value | |
beta, ab_value = [score, score] if !max_player && score < ab_value | |
[alpha, beta, ab_value, best_move] | |
end | |
def mark_curr_player_side(max_player) | |
max_player ? side : opposite_side(side) | |
end | |
def opposite_side(side) | |
side == "x" ? "o" : "x" | |
end | |
def alpha_beta_swapped?(alpha, beta) | |
alpha >= beta | |
end | |
def base_case_satisfied? | |
board.winner? || board.draw_game? | |
end | |
def winning_score(max_player, ply) | |
max_player ? (-9999 + ply) : (9999 - ply) | |
end | |
def available_moves | |
board[].each.with_index.map { |element, index| index if element == " " }.compact | |
end |
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