AI gets eaten by clam 

Thanks, will try my best!

I always hated the water levels, I’m just glad an ai can do it for me now

Thanks! That would be very cool, and if I had enough computers I would definitely try! I’m looking to try it out on a least a few different levels though to see how it does!

@@aitango cant you teach your ai to do one level at a time and slowly make it trough the entire game (i dont know anything about that so sorry) it was a cool vid tho u are a very smart guy 👍

The best way would be to teach it a generalised method, so specific levels. Then, from there, see what it picks up on other levels. For example, most of the hazards in the first world are pits, Goombas and Koopas. If you cover any specific gimmicks, then any levels with no or less gimmicks should actually be easier.

Probably couldn’t do another level after finishing this one, but would pick up another level much faster as it has an understanding of things like the swimming and enemies. Other non-swimming levels would probably be tough as the movement is very different. I may explore this in a future video!

That would be interesting, I have considered doing some upwards based levels, or even the boss fight!

@@aitango video title: “Larry loses to an AI that doesn’t know how to crouch”

Very much appreciated!

I will be releasing the source code at some point, but I'm currently revamping the code because at the moment its a complete mess. Once the revamp is done and I've gotten it to a remotely presentable point, I will release it!

I am glad!

Also, maybe you could get good results by using a RNN architecture. This might give it a sense of continuity to its actions.

Then again, I have very little experience with deep learning so I might just be talking a bunch of rubbish

Well many components are repeated multiple times in the level, so it's properly learning those, the exact path is probably partially hardwired into it, but if you took this AI and put it in a new underwater level, it would likely still know to swim at the surface for max speed, not touch the fish, and move to the right. The AI doesn't have a memory so its not just repeating the same steps in the same order every time. It's also worth pointing out that human speedrunners also overfit strategies for specific levels that wouldn't work generally too

It is likely overfitting at least a little, I think Sam explained it well. At least using multiple start locations would probably help though to stop really bad overfitting at the start of the level. I've been considering using an RNN architecture, and is definitely on my to-do list. I will have to see how many samples they typically need though, as if they need many more it may be problematic due to the speed of collecting samples in dolphin.

Depends on what you currently know! Firstly you would need to learn a good amount of programming, then look into reinforcement learning. There are lots of great resources online and just on RU-vid for both of these. For Wii games specifically, I may release the code at some point in the future

We call that 'illegal'

@@imlegos2153 o danm

I'm using dolphin which is an emulator on PC! Guess I am a fugitive now