How to Solve Maximum Amount of Money Robot Can Earn Problem
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Maximum Amount of Money Robot Can Earn
You are given an m x n grid. A robot starts at the top-left corner of the grid (0, 0) and wants to reach the bottom-right corner (m - 1, n - 1). The robot can move either right or down at any point in...
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Understanding the Maximum Amount of Money Robot Can Earn Problem
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Problem Statement
You are given an m x n grid. A robot starts at the top-left corner of the grid (0, 0) and wants to reach the bottom-right corner (m - 1, n - 1). The robot can move either right or down at any point in time. The grid contains a value coins[i][j] in each cell: If coins[i][j] >= 0, the robot gains that many coins. If coins[i][j] < 0, the robot encounters a robber, and the robber steals the absolute value of coins[i][j] coins. The robot has a special ability to neutralize robbers in at most 2 cells on its path, preventing them from stealing coins in those cells. Note: The robot's total coins can be negative. Return the maximum profit the robot can gain on the route.
Maximum Amount of Money Robot Can Earn
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Examples
coins = [[0,1,-1],[1,-2,3],[2,-3,4]]
8
An optimal path for maximum coins is: Start at (0, 0) with 0 coins (total coins = 0). Move to (0, 1), gaining 1 coin (total coins = 0 + 1 = 1). Move to (1, 1), where there's a robber stealing 2 coins. The robot uses one neutralization here, avoiding the robbery (total coins = 1). Move to (1, 2), gaining 3 coins (total coins = 1 + 3 = 4). Move to (2, 2), gaining 4 coins (total coins = 4 + 4 = 8).
coins = [[10,10,10],[10,10,10]]
40
An optimal path for maximum coins is: Start at (0, 0) with 10 coins (total coins = 10). Move to (0, 1), gaining 10 coins (total coins = 10 + 10 = 20). Move to (0, 2), gaining another 10 coins (total coins = 20 + 10 = 30). Move to (1, 2), gaining the final 10 coins (total coins = 30 + 10 = 40).
Constraints
m == coins.length
n == coins[i].length
1 <= m, n <= 500
1000 <= coins[i][j] <= 1000
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