Live data from Hacker News

Show HN: Beating Pokemon Red with RL and <10M Parameters

drubinstein.github.io

1–10 of 71 posts

Show HN: Beating Pokemon Red with RL and <10M Parameters

#1
Hi everyone!

After spending hundreds of hours, we're excited to finally share our progress in developing a reinforcement learning system to beat Pokémon Red. Our system successfully completes the game using a policy under 10M parameters, PPO, and a few novel techniques. With the release of Claude Plays Pokémon, now feels like the perfect time to showcase our work.

We'd love to get feedback!

Show HN: Beating Pokemon Red with RL and <10M Parameters
drubinstein.github.io

Re: Show HN: Beating Pokemon Red with RL and <10M Parameters

#9
post #6
post #5

Heads up, clicking "Next Page" just takes you to an empty screen, you have to use the navigation links on the left if you want to get read past the first screen.

Thanks for the heads up. I just pushed a fix.

I think you fixed the one below the puffer.ai image, but not the one above Authors.

Re: Show HN: Beating Pokemon Red with RL and <10M Parameters

#10
What an awesome project! I'm curious - I would have thought that rewarding unique coordinates would be enough to get the agent to (eventually) explore all areas, including the key ones. What did the agents end up doing before key areas got an extra reward?

(and how on earth did you port Pokémon red to a RL environment? O.o)

Post reply on HN