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#1
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Hello everyone!

I work with optimal control and reinforcement learning. Given the breakthroughs in RL for chess and Go, I was wondering if it's possible to improve the AI in my favorite turn-based game – Heroes? I'd like to try out a couple of algorithms. Could someone point me in the right direction, which branches to clone and which classes to look at first in the code?

Thank you!
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#2
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If you're interested, there's an open-source project called vcmi: https://github.com/vcmi/vcmi
And here's an attempt to rewrite the vcmi AI: https://github.com/vcmi/vcmi/tree/nullkiller-ai

The AI is still far from being playable in terms of "intelligence." There are bugs, and it also can't do many basic things.
Here's the conference: https://app.slack.com/client/T2JA4F4CX/C2J9QFUDS

The project is in a semi-frozen state, so don't expect quick responses. But the source code might be useful for your own purposes. If you're interested, feel free to join.
Сейчас балуюсь этим https://vcmi.eu/download/
За то что нейтралы не бегают за единичкой, для меня это уже стоит того