Top
Best
New

Posted by grabnero 1 hour ago

LLM Agents Play Pokemon Showdown(olivergrabner.com)
13 points | 10 comments
minimaxir 28 minutes ago|
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.
grabnero 24 minutes ago|
Yeah I saw that too which was partly the inspo for this experiment. I feel like its kind of getting to a place like in chess where AI is getting better and while theres alot of drama right now, I feel like it'll be something like stockfish in the future
jfreds 19 minutes ago||
Did you try out different reasoning levels? Wondering if messaging is basically a proxy for additional reasoning
pgn 1 hour ago||
what was the selection for the teams? random per round? how does it play against people in ladder?
grabnero 29 minutes ago|
Yeah! So I did teams from a fixed, random seeded pool and then would rerun it with the switched teams. It also doesn't play against ladder yet but I played against it and it's not horrible. It plays better than an amateur but I was able to beat it a good amount
doctorpangloss 50 minutes ago||
Pokémon Showdown isn't a game so much as it is competitive Wiki reading.
grabnero 34 minutes ago|
Not going to lie I agree lol but still interesting to see
deadbabe 1 hour ago|
Jev will give better results on this kind of thing.
nico 57 minutes ago||
For sure 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 35 minutes ago||
Yeah Jev can play it but Jev cant communicate with its teammate in the 2v2 + it cant reason and is just a decision model