LeetCode 1140. Stone Game II解题报告(python)

1140. Stone Game II

1. Stone Game II python solution

题目描述

Alex and Lee continue their games with piles of stones. There are a number of piles arranged in a row, and each pile has a positive integer number of stones piles[i]. The objective of the game is to end with the most stones.
Alex and Lee take turns, with Alex starting first. Initially, M = 1.
On each player’s turn, that player can take all the stones in the first X remaining piles, where 1 <= X <= 2M. Then, we set M = max(M, X).
The game continues until all the stones have been taken.
Assuming Alex and Lee play optimally, return the maximum number of stones Alex can get.

解析

使用动态规划，使用A[i]表示piles[i:]中以[1,2*M]为取值范围可以取的最多石子数
动态规划的方程如下所示
f(i,m)=A[i]−min(f(i+x,max(M,x))) f(i,m) = A[i]-min(f(i+x,max(M,x))) f(i,m)=A[i]−min(f(i+x,max(M,x)))
如果想让亚历克斯拿的尽可能多，那么我们就应该让李少拿。亚历克斯拿到最多的石子个数是，整体的石子个数减去李拿最少的石子，即min(f(i+x,max(M, x)))。

from functools import lru_cache
class Solution:
def stoneGameII(self, A: List[int]) -> int:
N = len(A)
for i in range(N - 2, -1, -1):
A[i] += A[i + 1]
from functools import lru_cache
@lru_cache(None)
def dp(i, m):
if i + 2 * m >= N: return A[i]
return A[i] - min(dp(i + x, max(m, x)) for x in range(1, 2 * m + 1))
return dp(0, 1)

Reference

https://leetcode.com/problems/stone-game-ii/discuss/345230/Python-DP-Solution
https://blog.csdn.net/qq_17550379/article/details/97757641

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