Hi,
Could you add my stream to the sidebar?
Sidebar name: Nevo
Country: Iceland
Twitch: https://www.twitch.tv/nevo___
League: https://etf2l.org/forum/user/79618/
Thanks

FINALLY

Thanks, for reference this is the modified arekkhud with the edited match hud: https://zippyshare.day/p8hC4WSZ8dRkIAu/file

How do I change the arekkhud default match hud to the progressive background health bars? See the screenshot: https://imgur.com/a/Mg66Xug

https://drive.google.com/drive/folders/1FBXpuP18jBGPkKIYO0hBayfUGPPerTK7?usp=sharing

If one were to go to the reinforcement learning road, i.e. trying to teach a model to play the game, the first barrier is properly interfacing with the game while avoiding latency, etc.. My first instinct would be using a server-side plugin and translate the state of the server into an interactable RL environment for the agent. Another road is to use convolution and human footage if doing supervised learning or directly the game if doing unsupervised. Once again, there are numerous technical barriers, you would have to sample the video feed into images at a reasonable rate, and deal with the latency of the game vs the actions taken by the network (which could get worse if you wanted to speed up the training by rendering the game several times). Convoluted neural networks are in my opinion less likely to reach satisfying levels of gameplay, but it has been done in Minecraft to a certain degree of success with simple tasks(https://minerl.io/).

However, an approach that could yield a lot of interesting results is position evaluation. Similar to the state of a chessboard, a demo records each packet, and you can fairly easily get a .json representation of a game. One could realistically build a dataset of games, covering a large number of situations, and train a neural network to evaluate how good the position is for a given team. This could lead to players reevaluating how good certain plays are, or how advantageous certain components of a fight may be. For instance, number and uber advantage are the two main ways stalemate situation are dealt with. But maybe a fine-tuned model would give us a more definite idea of who has the theoretical advantage in more ambigous situations, say you lost 2 players for a force and are pushing into a point with uber ad. Key here is all in the data, finding "good matches", use smart features to represent the game correctly..

Official etf2l ruling on this would be appreciated, imo its quality of life and not gamebreaking.

https://docs.mastercomfig.com/9.5.2/customization/custom_configs/

ØRA eskimo : ur gonna lose

Thanks, I don't use the previews and didn't realize I messed up

https://i.imgur.com/xBIq3VM.jpg

Which pill would you take & why?
https://tiermaker.com/create/melee-pills-526819
(Ignore the description of the pills on the tierlist as it is inspired from a melee post)

Works really well, good job!

https://youtu.be/59X6AGYiE8w

If you shift + select 2 players in the mute menu it expands the selection to everyone in between which can include you. Since you can't directly click yourself on the mute menu only thing you can do is shift + select 2 players in the list, one above you & one below, that way you select yourself again. After that press mute to unmute yourself & enjoy your binds again.