10 posts tagged with "Projects"

This post is about the Starcraft bot I am developing using machine learning. The project is being developed as part of the "Daj Się Poznać 2017" competition.

In the last post about the project I described how the maps look like and wrote how to create a basic script that connects to Starcraft and downloads the game state in a loop, or rather each subsequent logical frame games. I don't think I've written yet what a logical game frame is. The thing with logical frames is that graphics rendering is independent of calculations that change the game state. The frame rate is not constant and depends on the speed of your computer. The game state is calculated every interval. If you have played Starcraft, you probably know that you can set the game speed in the options. Changing the speed results in a change in the time between logical frame calculations. This is a fundamental difference, if we had constant 30 or 60 FPS, the issue would probably be solved differently.

This post is about the Starcraft bot I am developing using machine learning. The project is being developed as part of the "Daj Się Poznać 2017" competition.

This week I was going to write about Torch itself and how to create neural networks in it, but I decided that I would focus on the very basics of TorchCraft itself and its interaction with Starcraft. TorchCraft, unfortunately, has poor documentation and apart from the installation description, almost everything has to be figured out based on examples from the examples directory.

This post is about the Starcraft bot I am developing using machine learning. The project is being developed as part of the "Daj Się Poznać 2017" competition.

Recently I didn't have enough time to finish installing TorchCraft. After writing previous post, I remembered that in NTFS there is something called "junction point", which is something like symlinks in Windows. If BWEnv.exe requires Starcraft with the path C:\Starcraft, just download Junction, move it to *C:\Windows\System32 * and execute in the console: junction c:\Starcraft d:\Games\Starcraft. It worked for me. Well, okay, it didn't really work, because the game ran in full screen (the config says that it should be in a window), something was working there, but after the second attempt to run BWEnv.exe it didn't want to run anymore. A better option turned out to be to use BWEnv.dll and launch the game through Chaoslaucher.

This post is about the Starcraft bot I am developing using machine learning. The project is being developed as part of the "Daj Się Poznać 2017" competition.

This whole week I was wondering what path to take for my bot project. I wanted to use Deeplearning4j, but this library conflicts with BWMirror, which requires Java 32-Bit. An alternative is to rewrite the entire project from BWMirror to JNIBWAPI. The second alternative is to rewrite the project to C++, which I am not very interested in because I don't feel good in this language. I mean, not in Java either, but writing in Java is easier to learn. However, I finally decided to take up TorchCraft. Of course, I lose the opportunity to participate in SSCAIT, but I think it will be better to finally do something related to reinforcement learning using a ready-made environment. If I had to do the same in Java, it would take me a lot of time.

This post is about the Starcraft bot I am developing using machine learning. The project is being developed as part of the "Daj Się Poznać 2017" competition.

So far, I have been testing my bot on my computer against the default bot created by Blizzard. It's time to test yourself against other bot creators. I know that instead of the standard bot, you can connect another one using Chaoslauncher - MultiInstance and editing bwapi.ini, but I preferred to see first what the registration procedure in SSCAIT looks like.

This post is about the Starcraft bot I am developing using machine learning. The project is being developed as part of the "Daj Się Poznać 2017" competition.

I spent this week polishing up my Starcraft bot. I didn't want to take up reinforcement learning yet because I preferred to spend my time learning about BWAPI. The code can be viewed here in my repository dloranc/five-pool-bot.

This post is about the Starcraft bot I am developing using machine learning. The project is being developed as part of the "Daj Się Poznać 2017" competition.

Since the last post about the project, I've been working on the bot for quite some time, trying to write something that performs some simple strategy. After installing BWAPI, the bot starts and plays with the standard bot included in the game. As I had known the default bot and its weaknesses for years, I decided that my bot would perform a simple strategy called 5 pool with some modifications.

This post is about the Starcraft bot I am developing using machine learning. The project is being developed as part of the "Daj Się Poznać 2017" competition.

Unfortunately, Blizzard and DeepMind failed to create the API and moved the release date to summer this year, which they announced on the Battle.net forum:

We wanted to give you all an update on the progress of the StarCraft II API. Blizzard and DeepMind remain hard at work together defining the API and infrastructure needed to do world class research in StarCraft II. Like many research projects we’ve been learning a lot as we’ve gone along on this new endeavor. We’re eager to get a polished set of tools and documentation into the hands of researchers and developers as soon as possible. Originally we’d hoped to have the API ready by Q1 of this year but think it’s best to shift the official release back to this summer to provide a level of quality and completeness that we know you expect from us.

This post is about the Starcraft bot I am developing using machine learning. The project is being developed as part of the "Daj Się Poznać 2017" competition.

Every aspiring Starcraft 2 player knows that it is not enough to play to be good. You need, among other things, to analyze your games, as well as the games of other players who are better than you. It would be nice if my bot could do something like that too, at least to a limited extent. I will therefore need replays. Where to get them from? The most common way is to take them from sites like spawningtool.com or ggtracker.com, where they are published by players. Organizers of large tournaments also provide game packs from professional players, but searching the Internet to get these packs does not interest me.

It's time to get started, the previous post on the "Daj Się Poznać 2017" category was basically a post needed to create the category and RSS feed necessary to participate in the contest. Sculpin, which I use, requires the creation of any post assigned to a category to generate it.