4 ms·

Pure RL NN 'solved' simple games like Pokémon years ago. I think added challenge of seeing how well LLMs can generalize is a noble pursuit. I think games are a

Pure RL NN 'solved' simple games like Pokémon years ago. I think added challenge of seeing how well LLMs can generalize is a noble pursuit. I think games are a fun problem as well. Look how poorly Claude 3.7 is doing on Pokemon on Twitch right now.

minimaxir 2y ago
> Pure RL NN 'solved' simple games like Pokémon years ago. Please link to said project. From my search of Google filtered to 2010-2020, it returns nothing outside of proofs-of-concept (e.g. https://github.com/poke-AI/poke.AI https://github.com/poke-AI/poke.AI) that do not perform any better, or instead trying to solve Pokemon battles which are an order of magnitude easier.
- rockwotj 2y ago
  Maybe they are conflating the Starcraft success that Deepmind had with AlphaStar?
  - lairv 2y ago
    And AlphaStar or OpenAI Five were playing games knowing internal game states and variables Playing games from pixels only is still is a pretty hard problem
    - genewitch 2y ago
      Codebullet on YouTube remakes games and then makes the computer beat the game. Because pixels are hard.
- thrance 2y ago
  There is this amazing video [1] of some guy training a pure RL neural network to play Pokémon Red. It's not that old and the problem was certainly never completely solved. [1] https://youtu.be/DcYLT37ImBY https://youtu.be/DcYLT37ImBY