Hacker News
LLM Agents Play Pokemon Showdown
18 points by grabnero
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11 comments
minimaxir
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As a tangent, there has recently been drama with AI and Pokemon Showdown because someone trained a bot (using standard reinforcement learning + a rewrite of the Pokemon battle engine to Rust for max self-play parallelism) that is apparently good enough to get to the top of the leaderboard.
jfreds
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Did you try out different reasoning levels? Wondering if messaging is basically a proxy for additional reasoning
pgn
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what was the selection for the teams? random per round? how does it play against people in ladder?
doctorpangloss
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Pokémon Showdown isn't a game so much as it is competitive Wiki reading.
deadbabe
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Jev will give better results on this kind of thing.
nico
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For sure there are many better models for this use case[0]
At the same time, it’s interesting seeing how generally capable language models/LLMs/agents/harnesses are getting
We’ll probably see a lot more experiments and benchmarks like these in the near future
0: simple classifiers can play quite a few game, including Doom https://playground.jeffyclassify.com/#doom
grabnero
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Yeah Jev can play it but Jev cant communicate with its teammate in the 2v2 + it cant reason and is just a decision model
nico
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I agree with you
> but Jev cant communicate
However, it can chat https://news.ycombinator.com/item?id=49778162
Not very well of course :)