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Can't Pokemon be beaten by almost random play?
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)
> (and how on earth did you port Pokémon red to a RL environment? O.o)
Read and find out :)
Can't Pokemon be beaten by almost random play?
It can be brute forced if that’s what you mean. It has a fairly low difficulty curve and these old games have a grid system for movement and action selections. That’s why they’re pointing out the lower parameter amount and CPU. The point I took away is doing more with less.
Ah, very neat. Maybe some day the “rival” character in Pokemon can be played by a RL system, haha. That way you can have a “real player (simulated)” for your rival.
This is what I want to see more of and goes against the hype of LLMs. What a great RL project.
Meanwhile, "Claude" is still stuck somewhere in the game. Imagine the costs of running that vs this project.
Note: What makes this interesting is that this is a pre-LLM project which shows that in some projects you don't need an "LLM" for this. All you need is just a plain old reinforcement learning algorithm and a deep neural network which is perfect for this. This is what I want to see more of and goes against the hype of LLMs. What a great RL project. Meanwhile, "Claude" is still stuck somewhere in the game. Imagine the…