LLM Agents Play Pokemon Showdown

(olivergrabner.com)

13 points | by grabnero 1 hour ago

5 comments

  • minimaxir 3 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.
  • pgn 36 minutes ago
    what was the selection for the teams? random per round? how does it play against people in ladder?
    • grabnero 5 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 26 minutes ago
    Pokémon Showdown isn't a game so much as it is competitive Wiki reading.
    • grabnero 10 minutes ago
      Not going to lie I agree lol but still interesting to see
  • deadbabe 55 minutes ago
    Jev will give better results on this kind of thing.
    • nico 33 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 11 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