LLM Agents Play Pokemon Showdown

13 points | by grabnero an hour ago

7 comments

  • pgn 32 minutes ago

    what was the selection for the teams? random per round? how does it play against people in ladder?

      grabnero a minute 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 22 minutes ago

    Pokémon Showdown isn't a game so much as it is competitive Wiki reading.

      grabnero 6 minutes ago

      Not going to lie I agree lol but still interesting to see

  • deadbabe an hour ago

    Jev will give better results on this kind of thing.

      nico 29 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 7 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