gimkit

Searching for the optimal Gimkit strategy

Gimkit

Using a Dynamic Programming algorithm to search for the optimal Gimkit strategy.

How to use

// Initial conditions
// Change these values to alter the initial state
ll start = 0, goal = 1e10;
int max_it = 150; // Number of iterations to solve
int MPQ = 0, SB = 0, M = 0; // Initial upgrade status
int D = 0, R = 0, B1 = 0, B2 = 0; // Initial power-up status

Change these values to alter the initial state: * start - Starting amount of money * goal - Ending amount of money * max_it - The maximum number of iterations to solve * MPQ - The initial level of the money per question upgrade (Starts from 0) * SB - The initial level of the streak bonus upgrade (Starts from 0) * M - The initial level of the multiplier upgrade (Starts from 0) * D - The status of the discounter power-up (0 is unpurchased, 1 is purchased and used) * R - The status of the rebooter power-up (0 is unpurchased, 1 is purchased and used) * B1 - The status of the mini bonus power-up (0 is unpurchased, 1 is purchased and unused, 2 is used) * B2 - The status of the mega bonus power-up (0 is unpurchased, 1 is purchased and unused, 2 is used)