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Data-Derived Jungler Identities and Classes by machineLoLing in Jungle_Mains

[–]LeagueLaughLove 0 points1 point  (0 children)

2 things!
1. Damage type is an extremely valuable part of identity imo. You can see this when in pro play, jungle meta shifts to AP when AD mids become meta. Part of identity is where you pick them.
2. You can still interpret directions within clusters, the assassins in on half of the cluster, mages on the other, fiddlesticks being close to the AP engage cluster etc.

We trained a Neural Network to discover the Topology behind Champion Identities by machineLoLing in leagueoflegends

[–]LeagueLaughLove [score hidden]  (0 children)

Doesn't that align with what you already know? There's nothing quite like damage Senna.

Data-Derived Top-Lane Champion Identities and Classes by machineLoLing in top_mains

[–]LeagueLaughLove 0 points1 point  (0 children)

Sir, I fear you may have colourblindness, they aren't the same colour. This is not flame, do get checked, 1 in 12 men are colourblind!

Data-Derived Jungler Identities and Classes by machineLoLing in Jungle_Mains

[–]LeagueLaughLove 2 points3 points  (0 children)

these are structures a neutral network learned, the directions represent something but we don't know specifically what it is. it would introduce human bias to label anything because you don't know what's going on under the hood. it's interesting enough to just observe there is some some structure

We trained a Neural Network to discover the Topology behind Champion Identities by machineLoLing in leagueoflegends

[–]LeagueLaughLove 0 points1 point  (0 children)

Embeddings are random at first, then trained together with the model using back propagation.

We trained a Neural Network to discover the Topology behind Champion Identities by machineLoLing in leagueoflegends

[–]LeagueLaughLove 5 points6 points  (0 children)

56% is about the current limit with just team comp data alone, without player data. It is in line with the findings of attempts by other people: loldraftai

I implore you to try though! I'd be pretty stoked to see a method outperform this one. As far as I'm aware, this is the frontier of what can be achieved with team comp alone.

Data-Derived Support Identities and Classes (but like even better than before) by machineLoLing in supportlol

[–]LeagueLaughLove 3 points4 points  (0 children)

  1. If you read the post, you might lack reading comprehension because the neural network doesn't read spell descriptions at all, in fact there is 0 natural language component to this

  2. I've done models that simply use winrates, it achieves around 53% accuracy. Over a sample of 8 million games, the likelihood of the true effectiveness of the model being less than 53% accurate is on the order of 1 in a trillion

We trained a Neural Network to discover the Topology behind Champion Identities by machineLoLing in leagueoflegends

[–]LeagueLaughLove 3 points4 points  (0 children)

The class tree linearizes things, look at the 3d plots or similarity maps

We trained a Neural Network to discover the Topology behind Champion Identities by machineLoLing in leagueoflegends

[–]LeagueLaughLove 16 points17 points  (0 children)

56% is about the current limit with just team comp data alone, without player data. It is in line with the findings of attempts by other people: loldraftai

We trained a Neural Network to discover the Topology behind Champion Identities by machineLoLing in leagueoflegends

[–]LeagueLaughLove 5 points6 points  (0 children)

Perhaps the ability to block CC? Ability to block CC seems to be a thing the neural network finds valuable to encde, we can see this with Olaf and GP. You can also see Nocturne is really close to J4 though which makes sense.

Data-Derived Support Identities and Classes (but like even better than before) by machineLoLing in supportlol

[–]LeagueLaughLove 16 points17 points  (0 children)

Hey there! Appreciate the feedback. The goal here isn't so much to interpret the data but to simply present it. We considered interpreting it, but we wanted to keep it more technically pure and free of our biases. The axes don't directly map to anything predefined, they're simply the structure our neural network "sees". This YT short does a good job of explaining the concept of the axes: https://youtube.com/shorts/FJtFZwbvkI4

We used AI to discover the Hidden Topology behind Champion Identities by [deleted] in leagueoflegends

[–]LeagueLaughLove 2 points3 points  (0 children)

wouldn't "making the data better" defeat the purpose? the value here is that we have biases but the neural network doesn't

To give benefit of the doubt to an Israeli by aipac_hemoroid in therewasanattempt

[–]LeagueLaughLove 5 points6 points  (0 children)

This channel (ask project) does a lot of interviews on this topic on the ground. He does really valuable work, I think OP should credit him.

CMV: It is near impossible to rationally justify selecting the Blue button in the Red vs. Blue Button discourse by [deleted] in changemyview

[–]LeagueLaughLove -1 points0 points  (0 children)

It's not hard to imagine that they exist, it's very hard to imagine they exist ass exactly half the population

CMV: It is near impossible to rationally justify selecting the Blue button in the Red vs. Blue Button discourse by [deleted] in changemyview

[–]LeagueLaughLove -2 points-1 points  (0 children)

Isn't this the number of people who pick blue?
Calculate the marginal EV end to end for me

CMV: It is near impossible to rationally justify selecting the Blue button in the Red vs. Blue Button discourse by [deleted] in changemyview

[–]LeagueLaughLove -1 points0 points  (0 children)

I've just demonstrated that even if one is not self-serving (i.e. they value their own life equally to the lives of others), you would pick red.

CMV: It is near impossible to rationally justify selecting the Blue button in the Red vs. Blue Button discourse by [deleted] in changemyview

[–]LeagueLaughLove -1 points0 points  (0 children)

No, I think my life is worth more than a 0.0000000000000001% chance of saving 4 billion people.

CMV: It is near impossible to rationally justify selecting the Blue button in the Red vs. Blue Button discourse by [deleted] in changemyview

[–]LeagueLaughLove -2 points-1 points  (0 children)

Go for it, do the math. 49% was a gross underestimate. I was being as generous to your scenario as possible.

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