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Implementations of HMM and GA models to find large combos in fighting games.

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finding-combo

Implementation of the techniques described in the papers:

The first one basically uses hidden markov models to train a machine to find large combos inside fighting games. The consultations are made using the viterbi algorithm. The second paper addresses the usage of an evolutionary method to evolve a population of small combos (generated randomly and with our previous knowledge) into a large one through generations.

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