cuda-the-spire VS sts_lightspeed

I found this seed primarily using StS CUDA code to sieve for seeds that get Neow's Lament on floor 1 and can buy Juzu Bracelet at the first shop because of the Sssserpent event while also avoiding event node combats. I accounted for unlock manipulation (changing the size of the common relic pool), along with details of the Java random number generator's shuffle method to increase the throughput of seeds.

GPU-accelerated seed searching for high-performance searches such as the first mathematically proven unwinnable seed, and

Depending on the player's path, the probability of hitting a shop or treasure is usually between 2% and 8%, and in this one, we get lucky 8 times in a row! We found this seed by running a GPU-accelerated search. The run also minimizes the number of rest sites visited, because they have a fixed-time animation that cannot be avoided. It is theoretically possible to get one more shop/treasure room instead of the 1st rest site, with enough luck. Perhaps some other day!

I agree that Neow options on floor 0 also make it extremely difficult to find an unwinnable seed with this criterion. If I dug deeper into the Jaw Worm AI, I could probably put together a GPU-accelerated sieve for candidate seeds in the CUDA code I've been playing with.

My plan would be to use CommunicationMod and sts_lightspeed to run approximately one bajillion runs and train the network based on that (there's even a pull request out for combining 'em).

If you haven't seen it, then essentially there is a command line version of sts here. I was going to see if it was at all possible for me to create a deep learning project on it for my senior year at uni, but I have been completely unable to compile the code. Has anyone tried it and had any luck?

and AI* a finished AI (that uses information that the player doesn't normally have).

There's a ultra-light-weight implementation of Slay the Spire by gamerpuppy. Some kind of ML is the ultimate goal. It's outside my wheelhouse, but I'm really interested in the concept!

https://github.com/gamerpuppy/sts_lightspeed I wrote a complete simulator with implementations for Ironclad in c++. It has python bindings for a few things right now and mcts similar to pasha’s. You might like the data analysis channel on the discord.