N3vo
Account Details
SteamID64 76561198033396021
SteamID3 [U:1:73130293]
SteamID32 STEAM_0:1:36565146
Country France
Signed Up July 9, 2015
Last Posted November 17, 2024 at 6:32 PM
Posts 186 (0.1 per day)
Game Settings
In-game Sensitivity 1
Windows Sensitivity 6
Raw Input 1
DPI
1600
Resolution
1920x1080
Refresh Rate
144 Hz
Hardware Peripherals
Mouse Zowie FK1
Keyboard  
Mousepad  
Headphones Plantronics Gamecom 380 (unbreakable)
Monitor  
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#2 ETF2L 6v6 Autumn 2024 (S48) Grand Final in Events

FINALLY

posted 3 days ago
#6999 HUD editing: short questions, quick answers in Customization

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

posted 1 month ago
#6997 HUD editing: short questions, quick answers in Customization

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

posted 1 month ago
#21 Democall poland.tf 2024 in LAN Discussion

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

posted 8 months ago
#11 rahThread: AI players in TF2 General Discussion

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..

posted 9 months ago
#41 See your medic's uber% on hud in Customization

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

posted about 2 years ago
#5 How to set a different lerp for each class? in Customization
mastercomCustomization¶
You can use user customization files to override specific settings in mastercomfig.

These are autoexec.cfg, which runs at game launch, and the 9 class configs (scout.cfg, soldier.cfg, pyro.cfg, demoman.cfg, heavyweapons.cfg, engineer.cfg, medic.cfg, sniper.cfg, and spy.cfg) which run on switching to a new class. All of these files go into a folder called user you create in tf/cfg.

If you don’t have these files, you can download the mastercomfig template and move the user folder to your tf/cfg/ folder to customize the config.

If there’s something you’d like to run for all of your class configs, you can add it to tf/cfg/user/game_overrides.cfg

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

posted about 3 years ago
#41 Favourite TF2 player quote? in TF2 General Discussion

ØRA eskimo : ur gonna lose

posted about 3 years ago
#4 Which pill would you take? in TF2 General Discussion
Tobhttps://i.imgur.com/xBIq3VM.jpg
I think you messed up the preview in the OP so just edit this html in
(the image preview on tftv requires the url of the image itself. not the imgur page it's on)

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

posted about 4 years ago
#1 Which pill would you take? in TF2 General Discussion

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)

posted about 4 years ago
#14 Please have S37 in autumn 2020. in TF2 General Discussion
Raf6v6 Season 37

Signups: 25th September – 16th October
Premiership Qualifiers: 11th October – 16th October
Final divisions: 17th October
Main Season: 18th October – 4th December
Playoffs: 6th December – 18th December
posted about 4 years ago
#3 Improved resup bind and loadout specific settings in Customization

Works really well, good job!

posted about 4 years ago
#7505 Frag Clips Thread in Videos

https://youtu.be/59X6AGYiE8w

posted about 4 years ago
#6 MY BUG in Customization

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.

posted about 4 years ago
#7330 Frag Clips Thread in Videos

https://youtu.be/aueBTHN3Fg0

posted about 4 years ago
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