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• README.md
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    # Gimkit - Using a Dynamic Programming algorithm to search for the optimal Gimkit strategy. + Ever wondered about what the optimal [Gimkit](https://gimkit.com) strategy is? Well, now you can get a definite answer with `dp_solver.cpp`, which uses a Dynamic Programming algorithm to search for the optimal Gimkit strategy. This algorithm can calculate the optimal strategy from any arbitary starting state. ## How to use ```
  • @@ -22,3 +22,6 @@ * **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) + + ## How it works + *Coming soon*