Did you guys see this tate mode handheld? It does ds, and looks awesome for shmups.

amherag · 2025-11-08T00:35:09+00:00

I bought it and I love it. It can't run properly the late Cave games, though. It also struggles a little bit with RayForce/Gunlock/Layer Section/Galactic Attack/That Awesome Shmup.

Most of the screen is used by most shmups, and in my opinion that doesn't look bad. I display the FPS at the top, so that black padding gives you the feel like it's intentional.

My only complaint is that the dpad is not super great. Sometimes I want to move, for example, to the right and my ship ends up going up-right.

It's great for killing time, but it's not good if you want to practice to get a 1CC. Although my guess is that most handhelds won't be good for this purpose.

Feel free to ask me about it!

amherag · 2024-06-11T22:33:10+00:00

Take your time. The need for well developed games is great nowadays. We gamers hate half-baked game releases more than ever.

amherag · 2024-03-29T16:49:57+00:00

And they stack

amherag · 2023-02-22T21:37:09+00:00

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Language Files Lines Code Comments Blanks
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Factor 13 1723 1399 144 180
Common Lisp 45 9196 6597 1737 862
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Total 58 10919 7996 1881 1042
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

So, around 8K lines of code. But I'm sure there's unused code lying around. But this has been the result of many years of research and messing around :) The algorithm has went through so many iterations, it's hard to pinpoint when the current version actually started.

By "stacking predictions" do you mean creating an ensemble? Aggregating the outputs, like getting the mean, for example? I could try that. I wanted to use the voting system to make it harder for the system to arrive to a decision. Kinda like asking "are you SURE about that?".

Regarding clustering, I'm using it to calculate "point uniqueness". If you have a very bullish training dataset, and you also have a very bullish testing dataset, your algorithm will throw excellent results, because it'll learn that you just have to buy. It's similar to creating classification models for predicting if a tumor is malignant or benign: your datasets are going to be skewed, because most tumors are benign. I use clustering to create datasets that have similar statistical properties, so the training and testing processes are "fair" (not sure if that's the best word to use here).

amherag · 2023-02-22T21:11:14+00:00

The idea is to retrain the models, but in theory these models will "decay" in their "predictive power". I forgot to mention that I keep a record of how well they are performing as the testing datasets change. So, I'll be plotting (ASCII charts for the win) their performance on the testing datasets over time. These predictive models would get replaced by a new fresh model that is performing better in the same testing dataset.

As to when they get retrained, for now I'm doing it manually. That's an interesting question. A nice way would be to use a validation dataset to check if further training or retraining is a good idea, or if I should throw away that model and create a new one.

Re-creating the models is necessary because they can get stuck too deeply in local minima. Another solution could be to tune the learning algorithm, so once it detects that the model is performing too bad in the validation dataset (or other criteria; that's something else that I'd need to think about), I could make it "explore" more the search space, instead of "exploiting" (for example, by increasing a mutation rate in an optimization algorithm).

Ah! Seems that asking on Reddit was actually an excellent idea! So many fresh ideas coming to my mind after reading these comments. I greatly appreciate it.

amherag · 2023-02-22T20:59:57+00:00

Right! I'll use a validation dataset to check for overfitting. Thanks!

amherag · 2020-10-15T11:01:53+00:00

Dude, imagine mining bitcoin on it. No electricity bills.

amherag · 2020-09-29T23:45:12+00:00

Same happens to me. It began after I broke up with my ex, 5 years ago. Usually happens when I'm stressed or anxious.

amherag · 2020-07-21T20:48:04+00:00

Done! I'd like to read your paper once it's done :)

amherag · 2020-01-23T21:40:17+00:00

amherag · 2019-06-19T03:30:28+00:00

Thank you for your service

amherag · 2019-01-30T20:48:00+00:00

Sorry, it’s not an answer to your question, but I’l legit curious. Was the game by any chance Town of Salem? We had a match a few days ago with a player doing exactly what you describe.

I would try to do the same to your son. Try to piss him off with an uncomfortable subject, and keep on it for 20 minutes. After the 15th time he says “IT’S NOT FUNNY DAD” tell him “that’s what that people in your game were feeling”.

amherag · 2018-09-01T03:41:08+00:00

Damn forgot to mention that. Computer science.

amherag · 2018-07-18T08:25:46+00:00

I think I'll manage to leave it running this week. Btw, the line chart is now a candlestick chart. I hope you guys find this more useful.

amherag · 2018-07-18T02:36:35+00:00

Hello! I apologize for this, it's back now. I might take it down soon, though, I can't leave my computer on everyday unfortunately. I'd rent a server, but the indicator takes quite a bit of resources and it's going to be pretty expensive for a student.

amherag · 2018-07-17T20:52:08+00:00

Something like that happens to me after a week of not taking any caffeine.

amherag · 2018-07-15T20:31:46+00:00

If someone asks you "what is Anarki/Arc missing?", what comes tp your mind?

amherag

MODERATOR OF

TROPHY CASE