HN Theater @HNTheaterMonth

The overfitting problem is addressed in the followup: https://www.youtube.com/watch?v=iakFfOmanJU

⬐ stormbrew

I wonder if there is a way it could learn to get over that tall pipe in this one. It might be sufficient for it to learn to deliberately attack any enemies it finds, combined with its tendency to move right all the time. But I suppose that might be too complex a set of actions for this.

I believe it's been posted before, but sethbling (of vanilla-minecraft-hacks fame) pulled off the impossible and did the credit warp on an actual SNES, live[1]. As this video very-nicely explains, this required incredible amounts of pixel-perfect accuracy.

Lining up the line of koopa shells on exact x-offsets and very narrow heights mid jump (!) to write the landing-sled - using a controller, realtime - is utterly insane.

As a side note sethbling's latest project is teaching[2] (using neuro-evolution) his machine learning bot to play SMW[2], SMB1[3], and Mario Kart (original)[4]. While he machine learning is simple by today's standards, his brief videos give a really nice introduction to the topic that should be accessible to most people.

[1] https://www.youtube.com/watch?v=14wqBA5Q1yc

[2] https://www.youtube.com/watch?v=qv6UVOQ0F44

[3] https://www.youtube.com/watch?v=iakFfOmanJU

[4] https://www.youtube.com/watch?v=S9Y_I9vY8Qw

⬐ hayd

Someone apparently did a run in 42seconds ! https://www.youtube.com/watch?v=FkQdwUns7H8

Edit: Ah, that's "tool assisted".

⬐ yoha

Those videos are really great and worth watching!

⬐ Pewqazz

Note that this video is of SethBling pulling off the credits warp for the very first time, when the current setup for the warp was unknown. Here is a video of Seth performing the warp that was explained in the posted video, which is faster by over four minutes:

https://www.youtube.com/watch?v=KADhybyjOEo