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Born_Judge6078 t1_j6c55d2 wrote

Evolutionary, reinforcement and swarm optimization algorithms are interesting variations of what you’ve described and they’re not very complex to implement if you have beginner knowledge of vectors and matrixes but the real struggle would be engineering the environment in which the agents of the environment exist in, the environment would describe an agents/entities fitness to survive/solve a problem.

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Extra-most-best t1_j6c5hpq wrote

If you go the reinforcement route you’d need to use the correct reinforcement policy which can be tricky to know without testing if your not familiar with calculus and testing is easier but still requires pretty niche and deep knowledge of model testing.

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Extra-most-best t1_j6c5q84 wrote

Also I’d imagine that in the reinforcement learning route each ‘entity’ is a separate model which would have steep computational overhead implications or you just use one model in the environment and it is vanilla reinforcement learning which still isn’t very vanilla btw.

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hugio55 OP t1_j6jies6 wrote

Thanks for these replies - I appreciate it. I have a lot to dig into. I think the barrier of entry may be higher than I had hoped for.

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