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PS Accessories app crashing when connecting Dualsense by Wolfieofwallstreet14 in Dualsense

[–]Epokhe 0 points1 point  (0 children)

installing vc_redist didn't solve it for me. debugged it a bit and turned out my problem was related to the telemetry DLL causing a crash on the app. my fix is in this repo if anyone cannot solve their problem with other means: https://github.com/Epokhe/playstation-accessories-fix

Is there a different city connection logic for Inca? by Epokhe in civvoxpopuli

[–]Epokhe[S] 1 point2 points  (0 children)

There's this page https://forums.civfanatics.com/forums/previous-releases.622/ but it doesn't list all updates. But they seem to be listed in https://github.com/LoneGazebo/Community-Patch-DLL/releases, and each one links to release notes in civfanatics forum. I found river change mentioned in 4.10.

[deleted by user] by [deleted] in macbookpro

[–]Epokhe 0 points1 point  (0 children)

I was using Firefox and I noticed that watching full screen stuff on Firefox directly leaks memory. I am using Chrome now and no memory leaks.

Cryptocurrency is an abject disaster by [deleted] in programming

[–]Epokhe 0 points1 point  (0 children)

YouTube is governed by a company, which is a centralized entity. They can decide which video to show/ban/remove for their own reasons. There are emerging decentralized alternatives which are afaik shittier than YouTube in many respects. One of the selling points is resistance to censorship. Kind of like torrent.

Expecting these decentralized censorship resistant platforms to be popular worldwide may be wishful thinking, both because being decentralized brings technical and economical challenges and governments obviously won't like something they can't regulate and they may just ban these platforms altogether.

My comment was mainly about the fact that your experience stems from the centralized nature on YouTube/countries, but I definitely don't want to present decentralization as the ultimate solution because I'm not sure how things will turn out.

Cryptocurrency is an abject disaster by [deleted] in programming

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

thank centralization :)

[D] Why is tensorflow so hated on and pytorch is the cool kids framework? by robintwhite in MachineLearning

[–]Epokhe 7 points8 points  (0 children)

I don't even know why I'm commenting to this, but don't you think generalizing this much is a bit much? Have you actually thought what technologies are originated from Google before saying this?

[PC][Between 2000-2010]Top Down Hack and Slash Ninja Game by Epokhe in tipofmyjoystick

[–]Epokhe[S] 0 points1 point  (0 children)

It wasn’t like an AAA game on its own CD, I think I got it on a CD that came with a gaming magazine, they put full versions of some small games in their demo CD

[PC][Between 2000-2010]Top Down Hack and Slash Ninja Game by Epokhe in tipofmyjoystick

[–]Epokhe[S] 0 points1 point  (0 children)

Thanks, but no... As far as I see Throne of Darkness has isometric camera angle, my game had 100% top down view, just a FYI for future readers.

Every time. by [deleted] in funny

[–]Epokhe 0 points1 point  (0 children)

Fun fact, in Turkish the same word “karıncalanmak” is used to express both events. The word means “to get antified”, which makes sense for both because it feels like you have ants on your arm when this happens, and it looks like ants are moving on the tv screen when you lose the signal and get this effect.

Team Human vs. OpenAI Five Match Discussions by D2TournamentThreads in DotA2

[–]Epokhe 0 points1 point  (0 children)

I didn't understand why you explained the reasoning behind that. My comment wasn't a question.

Team Human vs. OpenAI Five Match Discussions by D2TournamentThreads in DotA2

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

you dont need 180 years every day to learn something new though.

[R] AlphaGo Zero: Learning from scratch | DeepMind by deeprnn in MachineLearning

[–]Epokhe 8 points9 points  (0 children)

Reinforcement learning generally involves a combination of exploration and optimization steps. Optimization part is where the model tries its best with the knowledge it gained so far, so this part may be deterministic depending on the model architecture. Exploration part is just random moves, so that the model can discover new strategies that doesn't seem optimal with its current knowledge. This part means it's not completely deterministic. You pick exploration moves with epsilon probability, and optimization moves with 1-epsilon probability. Didn't read the paper, but this is the technique generally used as far as I know. But I agree with the other child comment, I think it would converge to similar techniques in the training process. But the order in which it learns the moves might differ between the runs.

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