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if the former, this guy trained a DQN agent to play his simple implementation of the game. you can find the code for the game here and make any modifications you need
if the latter, that is more difficult. if you're savvy enough to use Chrome's debugger, you can probably find how the game represents its state, then create a clone (or heavily modify the existing source code) that stores its state in the same exact way. the game code is heavily obfuscated though (here's a hint: use https://beautifier.io/ to help you out, and make sure the "Unescape printable chars encoded as \xNN or \uNNNN?" is checkmarked). when evaluating on the live environment you might have to create a chrome extension or something to read the real game's state and feed it to the agent.