noddybear

7 ms·

61.
by noddybear 2y ago
Yes! Better strategy would be great - especially for grand strategy games (like Paradox EU4 etc). Even more for games with aspects of diplomacy...
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by noddybear 2y ago
Yes we tried that - as well as a few other visual DSLs for spatial reasoning. They didn't seem to help much, i.e there were no failure modes that this approach solved compared to the simpler approach. As ARC-AGI results showed - there
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by noddybear 2y ago
Thank you! Very much a labour of love. The next step for us is to try and build a paperclip maximiser in FLE.
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by noddybear 2y ago
We once saw GPT4o spend something like 100 repeated interactions trying the action known not to work (before snapping out of it). My intuition here is that this is a result of target fixation - the more repetitions of something it does, the
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by noddybear 2y ago
So the core insight was that we can take over the Factorio console remotely using RCON over TCP. From this, we implemented a server-side library of tools that run inside the game. We then implemented a client-side Python library that can in
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by noddybear 2y ago
Hey - yes, I think this is definitely possible, as you don't need any training compute for it to work. Its super easy to plug-and-play different models into new games, once an API is made available. Models struggle in 2 main areas. The
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Show HN: Factorio Learning Environment – Agents Build Factories(jackhopkins.github.io)
749 points by noddybear 2y ago|209 comments
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by noddybear 2y ago
This is really cool! When you get a restate instance, does that just handle the durable execution journal / orchestration, or can you run code in the instance as well?
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by noddybear 2y ago
The DSL paradigm is generally how I go about using LLMs on new projects, I.e use the LLM to design a language that best represents the abstractions and concepts of the project - and once the language is defined, the LLM can express usecases